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Reporting to theGlobal IT Compliance Lead, asanIT ComplianceManager, the successful candidate will be proficient at managingrisk-basedITcompliance initiatives acrossMondelez.Theroleis keyin the successful deliveryofthe annual Sarbanes-Oxleyinformation technology compliance programandthe operationalization of EU NIS2 Directive requirementsfor all in-scopeapplications and supported technologies.In addition, the candidate will be performing compliance activities related to technology assurance areas around access management, vulnerabilitymanagement,and configurationmanagement,among others.Candidatewill alsodemonstrateability and experience in governance related activities including administrative management of risk and control registers as well as policies and standards.&nbsp;How you will contributeAssuranceProgramResponsibilities<ul><li>Conduct assuranceactivities related to theannual SOX Compliance audit with a specific focusofIT General Controlsand Vendor SOX Compliance.</li></ul><ul><li>Lead compliance activities for the NIS2 Directive, including performing initial and recurring gap assessments, remediation tracking, and supply chain security alignment.</li></ul><ul><li>Perform quarterly compliance assurance testingandmaintainaudit-ready evidence documentation.</li></ul><ul><li>Document compliance testingevidence andresultsproviding audit ready assurances.</li></ul><ul><li>Maintain ManagementActionPlan (MAP)catalog with due dates.</li></ul><ul><li>Manage monthly audit ManagementActionPlans(MAPs). Includes thetimelycommunication of openMAPsan escalation as needed of risks to completing MAPs at their agreed delivery dates.</li></ul><ul><li>Perform administrative activities in GRC Solution for compliance related activities.&nbsp;</li></ul><ul><li>Managead-hocexternalITaudits.</li></ul><ul><li>SupportGRC Lead for CTO/CISO focusedinternal audits.</li></ul><ul><li>Managecompliance program reporting activities.</li></ul>Requirements:<ul><li>7 years in one or more of the following fields: Information Security, SOX Compliance, Internal Controls, Internal Audit or GRC,&nbsp;</li></ul><ul><li>3 years leading/managinginternal and external audits (i.e., Sarbanes-Oxley SOX) for a public US company.</li></ul><ul><li>Direct experience with EU cybersecurity regulations, specifically the NIS2 Directive.</li></ul><ul><li>Experience with GRC tools (e.g., Archer).</li></ul><ul><li>ISACA CISA and/or CISM Certifications (significant plus)</li></ul><ul><li>Knowledge of security concepts and methodologies such as risk assessments, risk &amp; controls, policies &amp; standards, enterprise security strategies, network, and cloud security.</li></ul><ul><li>Working knowledge of securityand compliance frameworks such as CIS, NIST and ISO</li></ul><ul><li>Excellent written and verbal communications skills, including presentational skills and able to clearly communicate issues to management and other key stakeholders.</li></ul>

IT Compliance Manager 166778

We are looking for an AI Delivery Manager to lead end-to-end delivery of AI and Data projects — from discovery to production. You will be accountable for project success, combining strong delivery management expertise with a solid understanding of AI, ML, and data technologies. You will focus on three categories of projects: GenAI Product development, ML Product development and AI Platform enablement.Join a global team delivering AI-driven transformation for leading enterprises. Work with cutting-edge GenAI and ML technologies, collaborate with top experts, and shape the next generation of intelligent solutions.The remote option applies only to the Candidates who will be working from any location in Greece.Responsibilities<ul><li>Act as a bridge between technology and business, understanding business objectives — including business cases, project purposes, expected outcomes, and delivered value.</li><li>Manage full lifecycle of AI initiatives (GenAI, ML).</li><li>Own delivery scope, schedule, quality, and budget.</li><li>Lead multidisciplinary global teams and ensure alignment across engineering and client stakeholders.</li><li>Act as main delivery contact for clients; build trusted relationships</li><li>Oversee risk, financials, and contract adherence.</li><li>Ensure compliance with legal, ethical, and security standards in AI.</li><li>Mentor team members and promote delivery excellence and engineering excellence</li></ul>Requirements<ul><li>Strong client-facing, risk management, and stakeholder communication skills.</li><li>3+ years in GenAI and traditional ML delivery management (e.g., RAG-based applications, chatbots, recommender systems, forecasting systems)</li><li>3+ years of previous experience as engineer (e.g., data scientist, machine learning engineer, data engineer, devops, python engineer)</li><li>Solid understanding of GenAI and ML technologies, and data management fundamentals.</li><li>Experience with at least one major cloud provider (AWS, Azure, GCP, Databricks).</li><li>Ability to lead cross-functional, distributed teams.</li><li>Ability to enforce engineering excellence and closely work with solution architects</li><li>Knowledge of the Greek language is a must</li></ul>We offer/BenefitsFor your comfortable work:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (264€/year)</li><li>Monthly public transportation card</li></ul>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul>

Data Delivery Manager

We are seeking a Data Governance Officer – Team Lead to promote a culture of accountability, stewardship, and continuous improvement in data usage across the organization. This role positions data as a strategic asset that supports informed decision-making and drives operational excellence.<h2>The main responsibilities of the position include:</h2><ul><li></li></ul><ul><li>Define strategic objectives, a clear roadmap, and KPIs for the department in line with corporate goals</li><li>Develop specific actions to achieve agreed targets and KPIs</li><li>Ensure all governance documentation—policies, principles, standards, and procedures—are current and relevant</li><li>Coordinate governance activities with Data Quality Engineers, IT Architecture teams, and other stakeholders across the organisation</li><li>Implement robust data processes and guidelines and ensure adherence</li><li>Act as the escalation point for data accuracy issues and drive effective resolutions</li><li>Maintain and manage business metadata definitions, business rules, and organisation-wide reference data</li><li>Support the implementation, rollout, and development of the Data Catalogue and manage change control for metadata</li><li>Promote and lead the adoption of consistent data definitions and best practices through training, communications, and workshops</li><li>Advise the Security Team to ensure data receives appropriate protection in line with classification</li><li>Report on data governance maturity and performance metrics</li><li>Set personal targets for team members, monitor performance, and provide constructive feedback</li><li>Coach and develop team members, sharing knowledge and fostering a culture of collaboration and growth</li><li>Motivate the team and encourage idea-sharing to improve individual and team performance</li></ul><h2>Main requirements:</h2><ul><li></li></ul><ul><li>BSc/MSc in Information Technology or equivalent</li><li>Minimum 5 years’ experience in data stewardship/management or a similar role</li><li>Possession of professional certifications such as CDS, CDMP, or DGSP</li><li>Hands-on experience with data catalogues, data warehouses, and/or MDM solutions</li><li>Excellent stakeholder engagement skills across all organisational levels</li><li>Strong communication, collaboration, and leadership abilities</li><li>Deep understanding of Data Governance concepts and GDPR compliance</li><li>Good knowledge of data quality processes and remediation activities</li><li>Ability to manage large datasets, identify errors, and implement solutions</li><li>Strong analytical skills with the ability to inspire and mobilise teams</li><li>Proven ability to coach, train, and develop team members</li><li>Occasional travel to support projects at different offices abroad</li></ul><h2>Benefit from:</h2><ul><li></li></ul><ul><li>Attractive remuneration package plus performance related reward</li><li>Intellectually stimulating work environment</li><li>Continuous personal development and international training opportunities</li></ul><h2></h2>

Data Governance Officer – Team Lead

We are seeking a Salesforce Commerce Architect to join our client's digital transformation initiative.The architect will be responsible for designing and implementing scalable Salesforce Commerce Cloud solutions that drive business growth and enhance customer experience.The remote option applies only to the Candidates who will be working from any location in Greece.Responsibilities<ul><li>Design and implement scalable Salesforce Commerce Cloud solutions</li><li>Provide technical leadership throughout the project lifecycle</li><li>Create architecture documentation and implementation roadmaps</li><li>Lead integration efforts with third-party systems and platforms</li><li>Guide development teams on best practices and standards</li><li>Manage technical risks and provide mitigation strategies</li><li>Collaborate with stakeholders to translate business needs into technical solutions</li><li>Perfect understanding of Salesforce B2B commerce capabilities</li></ul>Requirements<ul><li>3+ years of experience as a Salesforce Commerce Cloud Architect</li><li>Strong technical knowledge of SFCC architecture, data models and APIs</li><li>Experience with B2B commerce implementations (B2C would be advantage)</li><li>Integration expertise with payment gateways, ERPs and other enterprise systems</li><li>Project management skills with the ability to lead technical workstreams</li><li>Excellent communication and stakeholder management abilities</li><li>English proficiency at B2+ level or higher</li><li>German language proficiency</li></ul>Nice to have<ul><li>Salesforce Commerce Cloud certification</li><li>Experience in pharmaceutical or regulated industries</li><li>Knowledge of agile development methodologies</li></ul>We offer/BenefitsFor your comfortable work:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (264€/year)</li><li>Monthly public transportation card</li></ul>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul>

Salesforce Commerce Architect

You will assess information security risks in line with internal policy and external best practices, and support security of information and IT assets by testing security systems and applying security standards, policies, and procedures. Under the guidance of global information security lead, you will implement cyber security technology and provide day-to-day business support. If relevant to your role, you will manage third-party providers to ensure that any internal or third-party adhere to standards. You will also provide information security training to appropriate teams.What you will bringA desire to drive your future and accelerate your career. You will bring experience and knowledge in:<ul><li>Information security, compliance and risk management</li><li>Security solutions and their applicability to Mondelēz International</li><li>Security strategies, awareness campaigns, policies/standards and governance</li><li>Communicating effectively with technical specialists, leaders and peers</li><li>Analytical and problem-solving abilities</li><li>Being a team player by supporting and leading to achieve common goals</li></ul>

Sr. Analyst, Governance, Risk & Compliance (GRC), Information Security 159566 

We are seeking a Senior Data Scientist to join our expanding product data science team.You will be responsible for designing, developing, and maintaining data science models and deploying pipelines that enable scalable solutions. Your role involves close collaboration with development and commercial teams to enhance advertising trading recommendations and improve operational efficiency. You will have the opportunity to influence best practices and contribute to impactful projects. If you are passionate about applying advanced data science techniques to real-world problems, we encourage you to apply.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Translate product requirements into comprehensive data science solutions and manage end-to-end development pipelines</li><li>Take full ownership of data science development across various product features and modules</li><li>Collaborate closely with engineering teams and commercial stakeholders during the development lifecycle</li><li>Identify and research machine learning features with business impact and convert them into product functionalities</li><li>Evaluate risks and maintain a long-term focus on product quality and performance, proposing enhancements as required</li><li>Communicate proactively with project managers and stakeholders, resolving technical challenges efficiently</li><li>Support the team lead by recommending code and feature optimizations to reduce processing and storage expenses</li><li>Consider compute and storage costs during code reviews for peers</li><li>Ensure consistency in logic standards within the product and adhere to agile methodologies</li><li>Assist the team lead in onboarding and mentoring new team members on technical skills</li></ul>Requirements<ul><li>Minimum of 3 years of experience in data science projects</li><li>Strong understanding of machine learning techniques, including clustering, regression, classification, and deep learning</li><li>Experience using Databricks or similar notebook environments</li><li>Proficiency in Python and PySpark for processing large-scale datasets</li><li>Advanced skills in SQL and intermediate proficiency in Excel</li><li>Ability to translate business needs and product requirements into effective data science solutions</li><li>Experience in exploratory data analysis, data preprocessing, and feature engineering in big data environments</li><li>Familiarity with AWS or other cloud platforms for developing and deploying data pipelines and machine learning models</li><li>Experience with natural language processing applications</li><li>Knowledge of generative AI applications</li><li>Exposure to machine learning operations (MLOps)</li><li>Strong written and verbal English communication skills (B2+)</li></ul>We offer<ul><li>For your comfortable work:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (264€/year)</li><li>Monthly public transportation card</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>

Senior Data Scientist Remote

We are seeking a Lead Data Scientist with expertise in Generative AI technologies, Python, and scalable machine learning solutions to design and deliver impactful AI applications. This role combines technical leadership with collaboration, driving innovation while aligning with business objectives.In this role, you will design and scale a sophisticated chatbot application leveraging Generative AI to simplify workflows and answer natural language questions by retrieving insights from APIs and unstructured data sources.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Combine technical leadership with strategic oversight to guide AI/ML initiatives</li><li>Own and manage the lifecycle of AI/ML models, from code development and evaluation to production deployment</li><li>Optimize and fine-tune models to ensure accuracy and high performance in real-world scenarios</li><li>Implement robust model evaluation and drift testing processes to maintain reliability</li><li>Establish and enforce coding and model standards to ensure production-grade quality</li><li>Collaborate closely with engineering and business teams to define project objectives, requirements, and roadmaps</li><li>Deliver scalable AI solutions, advancing prototypes to production-ready systems</li></ul>Requirements<ul><li>5+ years of professional experience in Data Science</li><li>1+ years of leadership experience in relevant roles</li><li>Proven proficiency in NLP/LLMs/GenAI methods</li><li>Advanced Python skills, with expertise in TensorFlow, PyTorch, and Scikit-Learn for AI model development</li><li>Proven expertise in building and deploying production-grade AI/ML models with robust pipelines, monitoring practices, and operationalization in real-world environments</li><li>Strong background in data analysis and probability for model interpretation and insights</li><li>Proficiency in Azure and/or AWS cloud platforms for scalable, reliable deployments</li><li>Capability to define and uphold high-quality coding practices for maintainable and efficient systems</li><li>Excellent communication skills for explaining technical concepts effectively to technical and non-technical stakeholders</li><li>English level of minimum B2 (Upper-Intermediate) for effective communication</li></ul>Nice to have<ul><li>Experience with DevOps practices such as CI/CD pipelines, code versioning, and automated testing frameworks</li><li>Familiarity with MLflow for tracking experiments and enhancing model deployment workflows</li></ul>We offer<ul><li>For your comfortable work:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (264€/year)</li><li>Monthly public transportation card</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>

Lead Data Scientist

On behalf of our international client, a company with 30 years of experience and around 300 employees, specializing in innovative SAP solutions on a global scale, we are looking for a Senior SAP SD Consultant to join their Greek branch. The role offers the flexibility to be based in Thessaloniki or work remotely.Responsibilities:<ul><li>Provide expert-level support and consulting for the SAP SD module</li><li>Diagnose, troubleshoot and resolve SAP SD-related issues</li><li>Work closely with business users to understand their needs and deliver effective solutions through system customization</li><li>Manage and resolve timely support tickets efficiently through company’s ticketing system</li><li>Lead end-user training</li></ul>&nbsp;Candidate Profile:<ul><li>Degree in Computer Science, Information Technology, or a related field.</li><li>At least four years of experience in SAP SD consulting position</li><li>Fluency in both Greek and English</li><li>Expertise in SAP SD configuration and customization</li><li>Knowledge in Backend Development, PP, or EWM is a big plus</li><li>Strong communication and teamwork skills to collaborate effectively with teams and clients</li><li>Ability to work independently and collaborate effectively</li><li>Eagerness to learn and continuously develop expertise</li></ul>&nbsp;What the Employer Offers:<ul><li>Unlimited contract</li><li>Private health insurance</li><li>Prepaid card for food</li><li>An International and modern working environment</li><li>Continuous learning and development opportunities</li></ul>

Senior SAP SD Consultant (remote)

We are looking for&nbsp;a Senior Data Integration Engineer&nbsp;to join the dynamic Data Practice team and collaborate on EPAM strategic projects.As a Senior Data Integration Engineer, your key role will be to build data systems and applications that drive decision-making. You will primarily focus on developing and maintaining data pipelines and data-driven solutions in public clouds like AWS or Azure, as well as migrating data from the on-premises data centers to the cloud. Additionally, you will build components for enterprise data platforms.The remote option applies only to the Candidates who will be working from any location in Greece.Responsibilities<ul><li>Play a key role in driving forward EPAM strategic data projects</li><li>Design, build, and manage enterprise data solutions in Public Cloud (AWS, Azure)</li><li>Develop components for the enterprise data platform to ensure data accuracy and availability</li><li>Collaborate with data scientists, data architects, and others ensure data needs are met</li><li>Implement secure and auditable data processes to ensure data integrity</li><li>Troubleshoot any data-related issues and strive to improve the quality of data systems</li></ul>Requirements<ul><li>Proven experience as a Data Engineer or similar role for at least 3 years</li><li>Proficiency in SQL and Phyton</li><li>Proven experience with Public Cloud (AWS, Azure), DBMS and ETL/ELT tools</li><li>Hands-on experience with Databricks</li><li>Experience in data acquisition (API calls/FTP downloads), ETL, transformation/normalization (from raw to DB table schema structure), storage (Raw files, Database server), distribution &amp; access (Entitlements for users, build of API’s and access points for data)</li><li>Experience building components for enterprise data platform (Data Warehouses, Operational Data Stores, Access layers with APIs, file extracts, user queries)</li><li>A bachelor's degree in computer science, IT, or a related field</li><li>Strong communication skills</li></ul>We offer<ul><li>For you:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (additional benefit card from Edenred of 22€ per month (264€ per year)</li><li>Monthly transportation card for those located in Athens to use public transportation to visit the office and/or clients</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.

Senior Data Integration Engineer (Databricks) Remote

We are seeking a&nbsp;Lead Data Integration Engineer&nbsp;to join the innovative Data Practice team and make an impact on EPAM's strategic initiatives.In this role, you will focus on creating robust data systems and applications to support effective decision-making. Key priorities include developing and maintaining data pipelines, data-driven solutions in public clouds like AWS or Azure, and facilitating seamless data migration from on-premises infrastructure to the cloud. You will also work on building key components for enterprise data platforms.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Drive EPAM strategic data initiatives</li><li>Design and manage enterprise data solutions within Public Cloud environments (AWS, Azure)</li><li>Build components for enterprise data platforms to ensure efficient data workflows</li><li>Collaborate with data scientists, architects, and other stakeholders to address data requirements</li><li>Implement structured, secure, and auditable processes to safeguard data integrity</li><li>Identify and resolve data-related issues while enhancing overall system quality</li></ul>Requirements<ul><li>5+ years of experience as a Data Engineer or in a similar role</li><li>Proficiency in SQL and Python</li><li>At least one year of relevant leadership experience</li><li>Background in Public Cloud platforms (AWS, Azure), DBMS, and ETL/ELT tools</li><li>Hands-on experience with Databricks</li><li>Skills in data acquisition, including API calls, FTP downloads, ETL, transformation, storage, and distribution</li><li>Background in building components for enterprise data platforms, such as Data Warehouses, Operational Data Stores, API access layers, file extracts, or query systems</li><li>A bachelor’s degree in computer science, IT, or a related discipline</li><li>Competency in effective communication</li></ul>We offer<ul><li>For you:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (additional benefit card from Edenred of 22€ per month (264€ per year)</li><li>Monthly transportation card for those located in Athens to use public transportation to visit the office and/or clients</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.

Lead Data Integration Engineer Remote

We are seeking a&nbsp;Senior Data Software Engineer&nbsp;to join our Data &amp; Analytics team, focusing on utilizing cloud-native technologies in our Microsoft Azure environment.You will be pivotal in processing large volumes of financial data, innovating to enhance scalability, reduce processing latency, and increase processing transparency. The ideal candidate will be involved in every stage of the development lifecycle, from engineering robust solutions to collaborating with business partners and supporting operations.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Develop and maintain high-stability, performant solutions within the Microsoft Azure environment</li><li>Utilize Databricks, Azure DevOps, Delta Lake tables, and spark structured streaming in project implementations</li><li>Collaborate with business partners and IT experts to understand requirements and shape solutions</li><li>Participate in code reviews to ensure software quality</li><li>Ensure accurate and up-to-date documentation of processes and solutions</li><li>Support operations team in addressing complex problems</li><li>Improve and maintain data processing pipelines used in financial data analysis</li><li>Break down complex requirements into achievable tasks</li><li>Ensure solutions are effectively tested and aligned with business needs</li></ul>Requirements<ul><li>At least 3 years of experience in Data Software Engineering</li><li>Proven core Python software engineering skills, ideally in a finance data context</li><li>Proficiency in Apache Spark and familiarity with Delta Lake tables</li><li>Strong background in relational data models and SQL</li><li>Experience using automated testing to ensure software quality</li><li>Strong analytical skills with the ability to manage complexity</li><li>Self-driven and proactive in addressing issues and opportunities</li><li>Fluent in English with effective collaboration skills in both in-person and remote settings</li><li>Competency in working within a Cloud-native environment, specifically with Microsoft Azure technologies</li><li>Ability to work onsite approximately 3 days per week</li></ul>Nice to have<ul><li>Experience in Lakehouse architecture</li><li>Understanding of low latency processing mechanisms</li><li>Prior exposure to financial data processing systems</li></ul>We offer<ul><li>For you:</li><li>Paid annual vacation</li><li>Paid sick leave days</li><li>Private health insurance</li><li>Stable income</li><li>Meal and home office compensation</li><li>For your comfortable work:</li><li>Remote and hybrid work opportunities</li><li>Corporate laptop</li><li>Possibility to work on your own device</li><li>Free licensed software</li><li>Relocation opportunities</li><li>Free wellbeing activities</li><li>For your growth:</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Free trainings for technical and soft skills</li><li>Free access to LinkedIn Learning platform</li><li>Free access to internal and external e-Libraries</li><li>Certification opportunities</li><li>Language courses</li><li>Internal technical and non-technical communities</li><li>Possibility to contribute in internal, opensource products</li></ul>EPAM is a leading global provider of digital platform engineering and development services. We are committed to positively impacting our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to learn and grow continuously. You will join a dedicated, creative, and diverse community that will help you discover your fullest potential.EPAM is committed to providing our global team of 52,800+ EPAMers with inspiring careers. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success, and we value collaboration, try always to understand our customers' business, and strive for the highest standards of excellence.

Senior Data Software Engineer

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 250 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. Binance is looking for an experienced QA Engineer (mid to senior level) to drive and support Integration Testing of our high-performance backend software stack. This entails the full life cycle of testing from designing tests to capture changes, developing these into scripts and confirming execution, collating these into the integration framework, and ongoing improvement to the framework to improve automation. This is a full-time position which offers hybrid working in APAC region.Responsibilities<ul><li>Work closely with team members (Developers, Product Manager and Partners) to develop, test and deliver high quality software products.</li><li>Design test, development of scripted Python tests for integration test scenarios.</li><li>Preparation of integration test scenarios for unreleased features and changes, integrate into CI and stamp QA approved new feature for production.</li><li>Hands-on investigation, find root cause and communicate efficiency with other teams.</li><li>Identification and prioritization of deficiencies in existing integration test scripts and implementing improvements.</li><li>Enhancement of existing integration framework to support improved automation and reporting.</li><li>Developer background would be nice to have.</li></ul>Requirements<ul><li>5+ years of backend QA engineering experience.</li><li>Full cycle testing from designing manual tests, developing scripts and execution.</li><li>Strong experience with UNIX/Linux.</li><li>Strong scripting ability using Python, Bash.</li><li>Experience testing backend services such as APIs, Databases, distributed services (non-monolithic).</li><li>Enjoys breaking things and solving problems - not just able to find out the 'what', but also the 'why'.</li><li>Clear, logical communicator in English.</li></ul>Why Binance• Shape the future with the world’s leading blockchain ecosystem• Collaborate with world-class talent in a user-centric global organization with a flat structure• Tackle unique, fast-paced projects with autonomy in an innovative environment• Thrive in a results-driven workplace with opportunities for career growth and continuous learning• Competitive salary and company benefits• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team) Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.By submitting a job application, you confirm that you have read and agree to our&nbsp;<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.binance.com/en/candidate/privacy/notice">Candidate Privacy Notice</a>.

Senior Automation QA Engineer / SDET (Python)

We are seeking a highly motivated and experienced Presales Solution Consultant to join our growing Data &amp; AI practice.This role bridges technology with business value, helping clients harness the power of data to drive transformative business results. You will play a pivotal role in crafting innovative data solutions, supporting sales efforts, and delivering exceptional value to our clients through strategic consulting and technical expertise.The ideal candidate combines technical prowess with strong consulting and interpersonal skills, thrives in dynamic environments, and can align client requirements with modern data and analytics capabilities.This is an exciting opportunity to work with cutting-edge technologies and make a tangible impact across global industries.The remote option applies only to the Candidates who will be working from any location in Greece.Responsibilities<ul><li>Work closely with sales, delivery, and expert teams to align client needs with data-driven solutions, effectively connecting business challenges to our offerings</li><li>Own the end-to-end presales process, including opportunity qualification, solution design, proposal development, demos, and client presentations</li><li>Lead workshops and meetings with clients to gather business objectives and technical requirements, ensuring alignment between client goals and our solutions</li><li>Architect tailored data solutions, encompassing cloud-native platforms, data integration, advanced analytics, and AI/ML models, to provide actionable business insights</li><li>Develop competitive proposals, pricing models, and value propositions to successfully close opportunities and secure engagements</li><li>Stay updated on emerging trends in Data &amp; Analytics, Cloud, and AI, providing strategic advice to clients and supporting innovation within the practice</li><li>Contribute to the development of reusable solution frameworks, accelerators, and methodologies to drive operational efficiency</li><li>Act as a mentor and knowledge-sharer across the team, supporting skill-building and best practice dissemination</li></ul>Requirements<ul><li>Extensive experience in presales, solution architecture, or consulting, with a focus on Data/AI technologies and related business use cases</li><li>Strong technical knowledge of data platforms (e.g., Databricks, Snowflake, AWS/Azure/GCP Data Services), ETL processes, data modeling, BI tools, and data visualization frameworks (e.g., Power BI, Tableau)</li><li>Familiarity with data science techniques and proficiency in analyzing client needs to align with technical solutions</li><li>Excellent communication and storytelling skills—able to translate complex technical concepts into clear, client-friendly narratives</li><li>Proven track record in engaging with senior stakeholders and delivering impactful presentations or pitches</li><li>Experience in creating detailed proposals, RFP responses, and pricing/engagement models for data-related services or projects</li><li>Understanding of strategic consulting principles and the ability to develop future-state recommendations and roadmaps for client success</li><li>Strong organizational, leadership, and project scoping abilities, with a proven ability to manage complex tasks in a fast-paced environment</li><li>Bachelor's or master's degree in data science, Computer Science, Business Analytics, or a related field (or equivalent professional experience)</li><li>Excellent English communication skills, with the ability to clearly and effectively explain technical concepts to diverse audiences</li></ul>We offer/BenefitsFor your comfortable work:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (264€/year)</li><li>Monthly public transportation card</li></ul>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul>

Presales Solution Consultant – Data and AI

We are not here to play zero-sum games. Shopify Engineering is focused on building the best product for our Merchants. You will enable entrepreneurship and create new value for the world.&nbsp;We’re looking for experienced and curious software engineers to help build the future of commerce.&nbsp;<ul><li>Our engineering culture is deeply collaborative, truth-seeking, candid, and merchant obsessed</li><li>Our success hinges on our ability to build and scale the platform that powers commerce for millions of merchants. And do it in a robust and performant way.&nbsp;</li></ul>We believe that a great engineer can apply and hone their craft across multiple domains. That’s why we hire generalists, give them opportunities to learn new technologies and tools, and provide support and mentorship along the way.&nbsp;Shopify engineers contribute to the entire commerce “stack.” Think: delivering merchant and buyer-facing applications, creating complex financial solutions, improving open source communities, building internal tools to improve developer experience, and more.&nbsp;If you care deeply about what you do, and you’re committed to the relentless pursuit of developing and mastering your craft, Shopify Engineering might be for you.The Site Reliability Team:<ul><li>Help Shopify run its planet scale systems by enabling our engineering teams to create resilient systems.</li><li>Build and improve tools to keep our platform resilient and performant.</li><li>Help define what Resiliency and Site Reliability Engineering means for Shopify.</li><li>Directly impact production systems underpinning commerce for millions of merchants, who&nbsp; generate revenue for their livelihood, their families, and their employees, through the businesses they’ve built on our platform.</li><li>Go on-call and respond to automated alerts and execute playbooks.</li><li>Identify gaps in our processes and build or improve tools to support incident management.</li><li>Develop production tooling and services to improve our platform’s resilience.</li><li>Clean up the noise in our signals, ensuring we can get an understanding of our platform and more efficiently debug problems.</li><li>Ensure we never fail for the same reason twice.</li></ul>

Site Reliability Engineer

EPAM is looking for a skilled&nbsp;Senior Palantir Data Engineer&nbsp;to join our growing global team of data engineering professionals. This is an exciting opportunity to work on cutting-edge Data Transformation projects that utilize Big Data and Machine Learning to solve emerging challenges in the Property &amp; Casualty business domain.If you’re eager to apply your expertise in Python/PySpark, SQL and Palantir to design and implement complex data pipelines while collaborating with a multicultural and dynamic team, we’d love to hear from you!The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Lead the design and implement robust, large-scale data pipelines and analytics solutions</li><li>Oversee the monitoring and optimization of data pipelines for performance and scalability using advanced tools and techniques, including Python/PySpark and structured query languages</li><li>Optimize data workflows to support critical decision-making processes</li><li>Harness state-of-the-art tools and technologies (including Palantir Foundry) to address new and emerging business challenges</li><li>Partner with cross-functional and globally distributed teams (e.g., data scientists, analysts, business stakeholders) to align project goals and execution strategies</li><li>Contribute to a global strategic initiative focused on enhancing the ability to make data-driven decisions across the Property &amp; Casualty value chain</li><li>Stay ahead of emerging technologies and trends (e.g., Generative AI, Machine Learning) and recommend potential applications in the data ecosystem</li></ul>Requirements<ul><li>Bachelor’s degree (or equivalent) in Computer Science, Data Science or a related discipline</li><li>5+ years of experience working with large-scale distributed computing systems</li><li>Proficiency in Python/PySpark to build and optimize complex data pipelines</li><li>Hands-on experience working with Databricks for large-scale data processing and analytics</li><li>Strong SQL skills (preferably Spark SQL) for data querying and manipulation</li><li>Deep understanding of data warehousing concepts and ELT techniques</li><li>Experience with Palantir Foundry is a must</li><li>Familiarity with Agile and Scrum development methodologies</li><li>Strong analytical and problem-solving skills</li><li>Self-starter with a positive outlook and an eagerness to learn</li><li>Self-direction and effective workload management</li><li>Ability to work enthusiastically in a global and multicultural environment</li><li>Strong interpersonal and communication skills, including clear written and verbal expressions in complex contexts</li></ul>Nice to have<ul><li>Knowledge of HTML, CSS, JavaScript and Gradle</li><li>Experience in the insurance domain or the financial industry</li><li>Familiarity with Microsoft Power BI</li><li>Exposure to Machine Learning or Generative AI technologies</li></ul>We offer<ul><li>For you:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (additional benefit card from Edenred of 22€ per month (264€ per year)</li><li>Monthly transportation card for those located in Athens to use public transportation to visit the office and/or clients</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest

Senior Palantir Data Engineer Remote

We are seeking a highly skilled and motivated&nbsp;Senior Data Software Engineer&nbsp;to join our innovative team.In this role, you will leverage cloud-native technologies, including Databricks, Azure DevOps, Delta Lake tables, Spark Structured Streaming, and Lakehouse architecture, within our Microsoft Azure environment. You will play a pivotal role in processing large volumes of financial data, driving innovative solutions that enhance scalability, reduce processing latency, and improve transparency.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-IK2Responsibilities<ul><li>Engineer and maintain high-performance data solutions leveraging Python, Apache Spark, and Delta Lake</li><li>Participate in the full software development lifecycle, including requirements analysis, solution design, code reviews, and documentation</li><li>Collaborate with business partners, IT teams, and architects to ensure data pipelines meet complex and evolving requirements</li><li>Optimize financial data processing pipelines to improve scalability and reduce latency</li><li>Use automated testing to ensure reliability, stability, and accuracy in data processing</li><li>Break down complex data problems into achievable solutions through strong analytical skills</li><li>Support operations teams by troubleshooting and resolving complex pipeline issues</li><li>Identify opportunities for improvement and proactively address challenges</li><li>Design and implement robust relational data models and SQL-based solutions</li><li>Partner with the product owner and team members to deliver seamless data workflows</li><li>Build systems and pipelines that align with modern cloud-native architectural principles</li></ul>Requirements<ul><li>3+ years of professional experience in data engineering or software engineering roles</li><li>Strong core Python software engineering experience with proficiency in Apache Spark and Delta Lake</li><li>Expertise in relational data models and SQL for designing and managing large-scale data solutions</li><li>Knowledge of Azure Cloud Ecosystem, Databricks, and Azure DevOps</li><li>Background in financial data processing and handling large-scale analytics workloads</li><li>Familiarity with Spark Structured Streaming and its application to real-time data pipelines</li><li>Capability to develop, debug, and refine end-to-end automated testing processes</li><li>Experience with architectural practices related to Lakehouse platforms and data lake solutions</li><li>Fluency in English (B2 level) to collaborate effectively across remote and in-person teams</li></ul>Nice to have<ul><li>Understanding of modern big data processing techniques beyond Spark Structured Streaming</li><li>Background in optimizing Delta Lake and Lakehouse architectures for complex business needs</li><li>Showcase of delivering solutions in finance-specific domains or similar industries</li><li>Familiarity with designing and implementing pipelines in distributed systems with low latency</li></ul>We offer<ul><li>For you:</li><li>Paid annual vacation</li><li>Paid sick leave days</li><li>Private health insurance</li><li>Stable income</li><li>Meal and home office compensation</li><li>For your comfortable work:</li><li>Remote and hybrid work opportunities</li><li>Corporate laptop</li><li>Possibility to work on your own device</li><li>Free licensed software</li><li>Relocation opportunities</li><li>Free wellbeing activities</li><li>For your growth:</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Free trainings for technical and soft skills</li><li>Free access to LinkedIn Learning platform</li><li>Free access to internal and external e-Libraries</li><li>Certification opportunities</li><li>Language courses</li><li>Internal technical and non-technical communities</li><li>Possibility to contribute in internal, opensource products</li></ul>EPAM is a leading global provider of digital platform engineering and development services. We are committed to positively impacting our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to learn and grow continuously. You will join a dedicated, creative, and diverse community that will help you discover your fullest potential.EPAM is committed to providing our global team of 52,800+ EPAMers with inspiring careers. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success, and we value collaboration, try always to understand our customers' business, and strive for the highest standards of excellence.

We are looking for a highly skilled Senior Machine Learning Engineer to design and implement machine learning models and systems that address complex challenges and drive meaningful business outcomes. You will play a critical role in extracting insights from data, building advanced pipelines, and leveraging generative AI to develop impactful solutions. This position combines technical proficiency, innovative thinking, and collaboration to deliver scalable results aligned with organizational goals.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Design and implement machine learning solutions tailored to domain-specific business needs</li><li>Leverage data science techniques, classical machine learning methods, and generative AI to extract actionable insights</li><li>Build, deploy, and optimize ML pipelines, addressing feature generation, model evaluation, retraining, and automation</li><li>Interpret analytical results and model outputs, translating them into clear, actionable strategies for stakeholders</li><li>Collaborate with teams across the organization to gather requirements and deliver impactful machine learning solutions</li><li>Research and integrate emerging ML and AI technologies to improve processes and systems</li><li>Document workflows, algorithms, and findings to support reproducibility and knowledge sharing</li></ul>Requirements<ul><li>3+ years of hands-on experience applying data science and machine learning techniques to solve real-world problems</li><li>Strong ability to define business problems and design ML-driven solutions with an analytical focus</li><li>Expertise in Python and SQL, with proficiency in frameworks such as Scikit-learn, Pandas, and PyTorch</li><li>Solid understanding of statistical methods, machine learning algorithms, and advanced techniques like deep learning or LLMs (Large Language Models)</li><li>Experience applying statistical concepts such as regressions, A/B tests, clustering, and probability to business challenges</li><li>Skills in storytelling through data visualization tools like Tableau, R-Shiny, Streamlit, or Looker</li><li>Excellent communication skills, with the ability to present technical concepts to both technical and non-technical audiences</li><li>Proven problem-solving skills with the ability to independently manage and take ownership of projects</li><li>Collaborative mindset with experience working in cross-functional teams to align objectives and deliver results</li><li>Excellent command of written and spoken English (B2+ level)</li></ul>Nice to have<ul><li>Master’s or PhD degree in Computer Science, AI, Machine Learning, or a related field</li></ul>We offer<ul><li>For your comfortable work:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (264€/year)</li><li>Monthly public transportation card</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>

Senior Machine Learning Engineer Remote

KLDiscovery offers a fantastic opportunity for you to use your talents to make a meaningful impact in a fast-paced, growing technology and services organization! &nbsp;KLDiscovery is a global leader in eDiscovery, compliance, and data management solutions, empowering law firms, corporations, and government agencies to tackle their most complex legal and regulatory challenges.We are actively seeking a candidate with strong expertise in Python software engineering, who demonstrates either prior experience or a keen interest in transitioning to the dynamic field of AI/Machine Learning.&nbsp;&nbsp;Work Status: Remote, work from home opportunity.&nbsp;Is This Role For You?&nbsp;The primary responsibilities of this position revolve around constructing AI development and production infrastructure, as well as implementing them effectively. Your specific tasks will include aiding in the construction of analytical tools, curating datasets, conducting experiments, precisely estimating impact, productizing solutions, and monitoring the performance of machine learning models.&nbsp;A Day in The Life<ul><li>Develop high-quality code for seamless integration of Data Science tools and processes into the company's products and services.</li><li>Offer expert analysis and valuable insights to the product development team, contributing to the enhancement of our product offering.</li><li>Foster close collaboration with engineering teams to optimize the implementation and monitoring of solutions.</li><li>Conduct research, provide recommendations, and implement best practices in data science and data engineering.</li></ul>&nbsp;Driving Career Growth, Benefit Excellence: The KLD AdvantageAt KLD we invest in employees and their families by placing their wellbeing first. We offer competitive total compensation that includes base pay, bonus potential, inclusive benefits, wellness programs, and perks. We use market and industry data to inform pay decisions while considering geography and labor markets, individual experience, and business needs. Individual compensation will vary, although a reasonable estimate of the current annualized base pay range for this position is £50,000 to £65,000.<ul><li>This position is 100% remote, and we offer a high-performance laptop computer, options for wireless headset or external speaker, up to two 24" 2K monitors, and a mobile phone for business use.</li><li>Life assurance</li><li>Private Medical Health Cover (currently with BUPA)</li><li>Group Income Protection</li><li>25 days annual leave</li><li>Contributory pension after completion of three months’ service and the option to join the Workplace Pension in line with statutory rules</li><li>Flexible Benefits including Season Ticket Loans and Ride 2 Work.</li><li>Buy and sell up to 5 days of Holiday per year</li><li>Roll over 5 days of Holiday per year</li><li>Competitive salary (including bonuses and/ or team incentives) and benefits package</li><li>Refer a friend, earn a bonus!</li><li>Career progression and training opportunities</li></ul>&nbsp;What You Will Bring To The Role<ul><li>3+ years developing production Python code with demonstrated proficiency in code review practices, unit testing (pytest, unittest), and maintaining codebases &gt;10K lines</li><li>Strong CI/CD pipeline experience using Git, Azure DevOps/GitHub, Docker</li><li>Hands-on experience building and maintaining ML pipelines including ETL processes, data versioning and model deployment</li><li>Experience with modern ML frameworks: PyTorch or TensorFlow for model development, scikit-learn for classical ML</li><li>Working knowledge of LLM deployment patterns including prompt engineering, RAG (Retrieval-Augmented Generation) architectures, and fine-tuning approaches</li><li>Proficiency with NLP libraries: Hugging Face Transformers, spaCy, or LangChain</li><li>Experience managing datasets &gt;1TB and implementing data quality validation frameworks</li><li>Cloud platform experience (Azure preferred) including compute, storage, and managed ML services</li><li>Familiarity with model quantization, optimization techniques (ONNX, TensorRT), and cost-efficient inference strategies</li><li>Experience leveraging AI Code Assistants/Agents like Claude Code</li></ul>&nbsp;Business Travel &amp; Flexibility Requirements<ul><li>This position requires the individual to be flexible to our client and team needs for out-of-hours work and weekend work where applicable.&nbsp;</li></ul>&nbsp;Highly Valued Skills<ul><li>Vector database implementation (Pinecone, pgvector) with experience scaling to millions of embeddings</li><li>Production experience with embedding models (OpenAI, Cohere, sentence-transformers) and semantic search systems</li><li>Modern Python practices: type hints, async/await, pydantic</li><li>Experience using AI coding assistants (GitHub Copilot, Cursor, Claude Code, or similar) to accelerate development workflows</li><li>SQL expertise (PostgreSQL) including query optimization and database design</li><li>Experience with model monitoring, A/B testing frameworks, and performance tracking in production</li><li>Agentic AI patterns and multi-step reasoning systems</li><li>C# for integration with existing .NET systems</li><li>eDiscovery, legal tech, or document processing domain knowledge</li></ul>&nbsp;Professional Capabilities<ul><li>Clear technical communication with both technical and non-technical stakeholders</li><li>Self-directed problem-solving with ability to scope and deliver projects independently</li><li>Collaborative approach to code review and knowledge sharing</li><li>Detail-oriented with strong testing discipline</li></ul>&nbsp;Education<ul><li>Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related STEM field (Master's preferred)</li><li>Equivalent professional experience considered</li></ul>&nbsp;Language<ul><li>English fluency (written and verbal)</li></ul>&nbsp;

AI Engineer

We are searching for a&nbsp;Senior Data Software Engineer&nbsp;to guide the development of our forward-thinking supply-chain data analytics platform.This platform offers a comprehensive perspective of suppliers, products, material categories, shipments, and compliance activities, leveraging artificial intelligence to provide actionable insights and custom recommendations for our clients.If this role matches your career aspirations – apply today!The remote option applies only to the Candidates who will be working from any location in Greece.Responsibilities<ul><li>Design and develop data architectures and ETL pipelines using Databricks and external orchestrators like Airflow</li><li>Collaborate with machine learning teams to incorporate AI-driven insights into the platform</li><li>Implement system-level enhancements and components for efficient data engineering</li><li>Optimize data-focused platforms to enhance performance and scalability</li><li>Ensure compliance with software engineering best practices, including containerization, unit testing, linting, and code style adherence</li><li>Oversee and improve data workflows, Delta Lake, and Delta Live Tables within Databricks</li><li>Provide technical mentorship and support to data engineers on the team</li><li>Engage effectively with clients and stakeholders to align solutions with their needs</li><li>Navigate uncertainty and independently complete project deliverables</li></ul>Requirements<ul><li>Background in leading data engineering projects with the Databricks platform</li><li>Knowledge of data architectures and data modeling</li><li>Skills in designing and building ETL pipelines utilizing Databricks and external orchestrators (e.g., Airflow)</li><li>Proficiency in using Databricks (Delta Lake, workflows, Delta Live Tables, deployment, and versioning)</li><li>Expertise in Python with a focus on cloud-native technologies</li><li>Proficiency in Spark/PySpark</li><li>Background in engineering with either AWS or Azure</li><li>Skills in handling big data and optimizing performance in data-intensive environments</li><li>Strong initiative combined with experience interacting directly with clients</li><li>Adaptability to manage ambiguity and independently drive outcomes</li><li>Competency in operating within a fast-paced startup environment with transparency</li><li>Fluency in English at a B2 level</li></ul>Nice to have<ul><li>Familiarity with setting up or maintaining CI/CD pipelines on Azure DevOps</li><li>Understanding of Data Observability and approaches to Data Quality Monitoring</li><li>Background in integrating data quality checks into data pipelines</li></ul>We offer<ul><li>For you:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (additional benefit card from Edenred of 22€ per month (264€ per year)</li><li>Monthly transportation card for those located in Athens to use public transportation to visit the office and/or clients</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest

Senior Data Software Engineer Remote

We are seeking a highly skilled Senior AI Engineer to join our team.In this role, you will contribute to the development of advanced AI solutions for a variety of business domains. You will collaborate with cross-functional teams and clients to deliver impactful, scalable, and innovative AI-driven products. #LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Design, implement, and maintain end-to-end AI applications, including chatbots, Q&amp;A platforms, and agent workflows</li><li>Work directly with clients to understand requirements, identify opportunities, and recommend LLM-driven solutions</li><li>Develop and manage robust data pipelines, prompt strategies, and datasets to support effective and accurate AI models</li><li>Evaluate and refine AI system performance to ensure outputs are accurate, secure, scalable, and compliant with industry regulations</li><li>Conduct research and rapid prototyping to validate technical feasibility and demonstrate business value of AI solutions</li><li>Stay up to date with evolving LLM technologies, frameworks, and methodologies to continuously improve solutions and client outcomes</li></ul>Requirements<ul><li>At least 3 years of experience in AI engineering or a related field</li><li>Strong proficiency in Python and experience with web frameworks such as FastAPI or similar</li><li>Understanding of the AI application development lifecycle, from design to deployment</li><li>Experience with rapid UI prototyping using tools like Streamlit, Gradio, or similar frameworks</li><li>Familiarity with major LLM platforms and APIs, including OpenAI, Anthropic, Amazon Bedrock, Gemini, and related frameworks such as LangGraph, LlamaIndex, and Strands Agents</li><li>Knowledge of advanced AI integration patterns, including Retrieval-Augmented Generation (RAG) and agent-based architectures</li><li>Experience deploying AI solutions at scale, with a focus on performance, cost-efficiency, and maintainability</li><li>Ability to evaluate generative AI quality using metrics such as retrieval and classification scores, as well as LLM-based evaluation methods</li><li>Proven track record in delivering ML-based solutions and AI engineering projects</li><li>Strong problem-solving skills and attention to detail</li><li>Excellent communication, collaboration, and interpersonal skills</li><li>Fluent English skills (written and spoken) at a B2+ level or higher</li></ul>Nice to have<ul><li>Experience designing experiments, conducting A/B tests, and iterating on models based on user feedback</li><li>Understanding of retrieval systems, including keyword search, vector search, embeddings, and ranking algorithms</li><li>Familiarity with emerging protocols such as MCP, A2A, ACP, and others</li><li>Experience deploying to cloud AI platforms like Azure OpenAI, Amazon Bedrock, GCP Vertex AI, or on-premise solutions such as vLLM</li><li>Experience with enterprise AI platforms, including AWS AgentCore, Databricks AgentBricks, Google Agents Space, or Azure AI Foundry</li><li>Experience with observability and monitoring tools and frameworks for AI systems</li></ul>We offer<ul><li>For your comfortable work:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (264€/year)</li><li>Monthly public transportation card</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>

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