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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

Our team is expanding, and we are hiring Senior AI Engineers with a focus on Generative AI (GenAI) and agentic AI to help us build and scale our next-generation AI applications. You will join a strong, fast-paced team working on the bleeding edge of AI technologies. As a Senior AI Engineer, you will be responsible for creating innovative applications that leverage GenAI and are used both internally and by our clients. You will work with the latest GenAI technologies to design, develop, and deploy end-to-end production-ready applications. <h2>The main responsibilities of the position include:</h2><ul><li></li></ul><ul><li>Design, develop, and maintain intelligent backend systems that combine LLMs, retrieval systems, and custom APIs, ensuring high performance, scalability, and reliability</li><li>Participate in team discussions and conduct code reviews, ensuring high standards for GenAI applications’ code quality, security, maintainability, and best practices (testing, CI/CD, observability, documentation)</li><li>Stay up to date with generative AI trends by proposing, researching, and integrating new technologies (e.g. vector databases, agent frameworks, LLM observability tools) to enhance AI capabilities</li><li>Collaborate cross-functionally with front-end developers, data scientists, and product managers to define requirements and design and deliver robust end-to-end solutions</li><li>Monitor and improve existing AI systems, identifying opportunities for optimization, cost efficiency, and performance enhancement</li></ul><h2>Main requirements:</h2><ul><li></li></ul><ul><li>BSc/MSc in Computer Science, Engineering, or a related field</li><li>5+ years of professional experience in backend development using Golang (preferred), Java, or Python</li><li>2+ years of hands-on experience developing and deploying production GenAI applications</li><li>Strong understanding of vector databases and semantic retrieval techniques</li><li>Practical experience with LLMs and prompt engineering, including the use of APIs and tools</li><li>Experience with agentic architectures and AI orchestration frameworks, such as LangChain, Genkit, or similar tools</li><li>Solid understanding of the full software development life cycle, including CI/CD pipelines, testing, and deployment on Cloud</li><li>Experience working in cross-functional teams, collaborating with product and program managers to deliver features on time and with high quality</li><li>Experience optimizing, monitoring, and testing LLM-based applications</li><li>Genuine passion for emerging GenAI technologies and innovation in the AI field</li><li>Strong teamwork and collaboration skills, with a proactive and solution-oriented mindset</li><li>Commitment to continuous learning</li></ul><h2>The following will be considered an advantage:</h2><ul><li></li></ul><ul><li>Experience with AWS Cloud Services (e.g. EC2, S3, SQS)</li><li>Knowledge of LLM observability frameworks (e.g. LangFuse) and tracing tools</li><li>Experience building pipelines for model evaluation, feedback collection, and continuous improvement of LLM-based systems</li><li>Work portfolio of open-source contributions, side projects, or technical blogs showcasing AI or backend engineering expertise</li></ul><h2>Benefit from:</h2><ul><li></li></ul><ul><li>Attractive remuneration package</li><li>Intellectually stimulating work environment</li><li>Continuous personal development and international training opportunities</li><li>Attractive relocation package and support for a smooth relocation for you and your family</li></ul><h2>The Hiring Experience: What Awaits You</h2><ul><li></li></ul><ul><li>Show Your Skills – Online Technical Challenge</li><li>Let’s Connect – Intro Chat with Talent Acquisition</li><li>Bring It to Life – Role-Specific Take-Home Task</li><li>Final Connection – Final Interview</li></ul>All applications will be treated with strict confidentiality!

Senior AI Engineer

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>

Senior AI Engineer Remote

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

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

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 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

Are you a self-starter with strong problem-solving skills, capable of owning and implementing solutions from start to finish? Do you enjoy tackling the challenge of solving complex Big Data analytics problems using state-of-the-art technologies?We are seeking a highly skilled and motivated&nbsp;Senior Data Engineer&nbsp;to join our growing global team of data engineering professionals. You will play a key role in building robust, scalable data-driven solutions that support critical decision-making processes for our Property &amp; Casualty business domain.This is an exciting opportunity to work on cutting-edge Data Transformation projects that utilize Big Data and Machine Learning to solve emerging challenges.The remote option applies only to the Candidates who will be working from any location in Greece.Responsibilities<ul><li>Design and build scalable data pipelines and data-driven solutions to support robust analytics and business decision-making</li><li>Collaborate with cross-functional teams to gather requirements, align on data needs, and ensure seamless delivery of solutions</li><li>Implement data modeling, documentation, and optimization strategies to streamline performance and usability</li><li>Develop data analytics tools and dashboards to effectively communicate insights and trends</li><li>Leverage modern coding languages like Python or TypeScript to create reliable and maintainable software components</li><li>Ensure data accuracy, validation, and monitoring processes are automated and efficient</li><li>Apply Agile methodologies, including Scrum, to expedite project delivery and enhance collaboration</li><li>Take ownership of projects, driving them from inception to completion with minimal oversight</li><li>Solve complex Big Data problems using advanced technologies like Palantir Foundry and Machine Learning techniques</li></ul>Requirements<ul><li>Bachelor's degree or equivalent in Computer Science, Data Science, or a related field</li><li>2+ years of hands-on experience&nbsp;in data and technology</li><li>Expertise in modern coding languages like Python or TypeScript</li><li>Familiarity with SQL and relational database concepts</li><li>Proficiency in data analytics and visualization tools</li><li>Background in Scrum and Agile development approaches</li><li>Understanding of building data-driven applications with storytelling capabilities</li><li>Good communication skills in English to articulate complex ideas effectively to non-technical stakeholders</li></ul>Nice to have<ul><li>Knowledge of Palantir Foundry and Microsoft Power BI</li><li>Experience with Machine Learning or Generative AI</li><li>Knowledge of PySpark for large-scale data processing</li><li>Familiarity with HTML, CSS, JavaScript, and Gradle</li><li>Knowledge of the insurance domain, the financial industry, or finance functions within other industries</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 Engineer Remote

We are seeking a&nbsp;Senior Data Engineer&nbsp;to design and implement robust, scalable data-driven solutions that support key decision-making processes within the Property &amp; Casualty business domain.This role offers the opportunity to work on cutting-edge projects utilizing Big Data and Machine Learning to address emerging challenges in the insurance industry.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 build scalable and efficient data systems to enable data-driven decision-making</li><li>Collaborate with cross-functional teams to gather and understand data requirements</li><li>Implement data pipelines to extract, transform, and load (ETL/ELT) data from various sources</li><li>Develop data models that support advanced analytics and reporting needs</li><li>Utilize modern programming languages to build data-driven applications focused on user needs</li><li>Ensure the quality and reliability of datasets through validation and testing</li><li>Visualize data insights and tell compelling stories through dashboards using tools like Microsoft Power BI</li><li>Optimize performance and scalability of data infrastructure to meet growing business demands</li><li>Maintain thorough documentation of data architecture, pipelines, and processes</li><li>Stay updated on industry trends and emerging technologies to propose innovative solutions</li><li>Adhere to Agile and Scrum methodologies to ensure effective project delivery</li><li>Support the adoption and use of advanced platforms such as Palantir Foundry</li></ul>Requirements<ul><li>Bachelor's degree in Computer Science, Data Science, or a related field</li><li>3+ years of experience in data engineering, analytics, or related fields</li><li>Expertise in Python, TypeScript, and SQL with a deep understanding of relational databases</li><li>Skills in data modeling, data visualization, and storytelling with data</li><li>Proficiency in Microsoft Power BI and familiarity with Agile development approaches like Scrum</li><li>Experience working with Palantir Foundry or other advanced data platforms</li><li>Background in Insurance, Financial Services, or Finance-related industries is a strong advantage</li><li>Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders</li></ul>Nice to have<ul><li>Knowledge of Big Data technologies and frameworks</li><li>Proficiency in PySpark for distributed data processing</li><li>Background in Machine Learning or Generative AI applications</li><li>Familiarity with insurance domain concepts or the Property &amp; Casualty business</li><li>Understanding of ETL/ELT solutions and best practices</li><li>Familiarity with HTML, CSS, JavaScript, and Gradle</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

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 and motivated Senior Security Automation Developer to join our Global Cyber Defense Organization. This role serves to build and maintain robust automation systems that enable our security operations center to respond to threats at machine speed. You will advise implementation of decisions, secure coding practices, and uplift the maturity of the Security Automation and Enhancements team.&nbsp;As both a hands-on technical expert and strategic contributor, you will work closely with Security Operations, Incident Response, Detection Engineering, Offensive Security, and key enterprise stakeholders. Success in this role relies on anticipating the needs of your stakeholders to save them minutes to hours before they even realize the opportunity to automate is thereWhat you will bringA desire to drive your future and accelerate your career. You will bring experience and knowledge in:<ul><li>Designing and implementing automations within an enterprise function using scripting languages as well as low code GUI based SOAR applications</li><li>Knowledge and experience around GitOps pipelines for cloud native applications</li><li>Experience with Security Operations fundamentals include Opsec and basic best practices to assist with developing structured workflows for operations teams</li><li>The ability to cater to multiple stakeholder teams and drive initiatives across several projects simultaneously</li><li>Solid understanding and hands-on experience with security automation tools, SOAR platforms, and programming languages</li><li>Excellent communication and teamwork skills, capable of working seamlessly across different teams within a global Cybersecurity Defense Organization</li><li>Exceptional analytical and problem-solving abilities, with a creative mindset geared towards innovative automation solutions and complex troubleshooting.</li></ul>More about this roleThis position blends technical competence with hands-on execution. You will influence the Security Operations Center capabilities and how they are utilized across the organization – guiding streamlines operations to allow for quicker and more effective responses to protect the organization from real adversaries. If you are passionate about security, building mature capabilities, and enabling defensive teams, we want to hear from you.Job specific requirements:Required<ul><li>University Degree&nbsp;</li><li>3-5 years of experience in Information Security</li><li>3–5 years of hands-on experience in security automation servicing an operations team</li><li>2-3+ years of experience in security operations or incident response&nbsp;</li><li>Strong written and verbal communication skills, with the ability to interact with technical teams</li><li>Ability to work independently, lead initiatives with supervision, and maintain clarity under pressure.</li></ul>Preferred<ul><li>​Experience building and maintaining a SOAR platform including the care of agentic response platforms.</li><li>Experience designing or leading automation development for an enterprise security team</li><li>Familiarity with MITRE ATT&amp;CK and its application across security detections and the categorization of security events.&nbsp;</li><li>Strong analytical mindset with the ability to synthesize large volumes of data into actionable signals.&nbsp;</li><li>Strong desire to continuously learn and adapt to evolving threats and technologies</li><li>Relevant certifications such as GCTI, GCIH, CISSP, or equivalent.&nbsp;</li><li>Familiarity with modern development and automation practices, including Agile methodologies, GitOps workflows, and scripting languages such as Python to support automation, tooling development, and repeatable analysis processes.</li></ul>

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