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Intellectica is recruiting a highly skilled Autonomous Systems Engineer for a newly established AI &amp; Machine Learning spinoff within a leading aerospace, defense, and high-technology group, based in Psixiko, Atttiki, operating under a hybrid working model. Reporting directly to the CTO, the ideal candidate will play a key role in shaping and executing the company’s AI and data science strategy while contributing to the design, development, and optimization of intelligent autonomous systems. Working across the full autonomous systems stack, with close collaboration among engineers, AI specialists, and platform teams, the candidate will deliver scalable, reliable, and high-quality solutions.&nbsp;&nbsp;Key activities and responsibilities of this role include:&nbsp;<ul><li>Contribute to the design, development, and optimization of software components for AI-driven and autonomous systems</li><li>Develop and maintain robust, scalable software using C++ and Python, ensuring code quality through best practices and peer reviews</li><li>Support the implementation of core modules, including perception, localization, planning, sensor integration, and system orchestration</li><li>Collaborate on architecture design, system integration, and technical enhancements, working closely with senior engineers and cross-functional teams</li><li>Integrate and validate autonomous frameworks and middleware solutions (e.g., ROS/ROS2), including work within simulation and validation environments</li><li>Contribute to AI/ML integration and development of software interacting with sensor systems (LiDAR, cameras, GNSS, IMUs, radar)</li><li>Support CI/CD pipelines, Dockerized environments, and deployment processes, including troubleshooting and performance optimization across development and production</li><li>Ensure system quality, reliability, and safety across the full software lifecycle while contributing to a strong engineering culture</li></ul>&nbsp;Professional experience &amp; qualifications of a successful candidate:&nbsp;<ul><li>Bachelor’s degree in Computer Science, Electrical &amp; Computer Engineering, Robotics, Mechanical Engineering, or a related technical field</li><li>1+ years of professional experience in Software Engineering, Robotics, or Autonomous Systems, with hands-on expertise in C++ and Python</li><li>Solid understanding of autonomous systems concepts, including perception, localization, sensor fusion, planning, or control</li><li>Strong foundation in software engineering fundamentals, including algorithms, data structures, object-oriented design, and Linux-based development</li><li>Experience with Git, collaborative development workflows, debugging, and writing maintainable, testable code</li><li>Familiarity with APIs, multithreading, containerization, and modern software development practices</li><li>Proficient in Greek and English</li></ul>&nbsp;Core competencies of a successful candidate:<ul><li>Strong analytical and problem-solving skills, combined with a structured and detail-oriented way of working</li><li>Ability to work independently while collaborating effectively within cross-functional teams, with clear communication of technical concepts</li><li>Genuine passion for autonomous systems, robotics, and AI-driven technologies</li><li>Growth mindset with willingness to learn, openness to feedback, and commitment to continuous improvement in a fast-paced environment</li></ul>

Autonomous Systems Engineer

The&nbsp;Solution Designer&nbsp;will be joining the software development team of Risk Management Domain of Alpha Bank IT Digital Services &amp; Data Analytics Division. You will be responsible for designing and overseeing the implementation of software solutions that meet the business requirements in areas such as Risk Management, Capital Management, MIS, ALM etc.&nbsp;You will work closely with cross functional IT teams and stakeholders to define architecture, guide development teams &amp; vendors, and ensure the successful delivery of projects. What you will be doing&nbsp;<ul><li>Collaborate with cross functional teams to understand their business objectives and technical requirements.</li><li>Understand and review the business and application requirements and define the solution requirements, ensuring they are consistent with the Bank’s IT strategy and practices.</li><li>Create High-Level technical solution design and produce relevant documentation.</li><li>Coordinate and consolidate High-Level Estimations, based on the high-level business requirements.</li><li>Participate in projects estimation and planning, providing technical input and helping the team set realistic goals and timelines.</li><li>Collaborate with Project Manager to create project milestone planning.</li><li>Cooperate with software engineers, data engineers, system engineers, and business analysts to implement effective and efficient software or data management solutions applying DevOps methods and iterative delivery.</li><li>Assess the impact of changes and enhancements on the existing architecture.</li><li> </li></ul> What you need to have&nbsp;<ul><li>BSc in Computer Science, Information Systems, Engineering, or any other related discipline.</li><li>Understanding of software engineering principles and best practices for building modular and maintainable systems.</li><li>Experience in designing scalable and resilient systems that meet performance, security, and reliability requirements.</li><li>Experience in DevOps and Agile methods and practices, familiarity with data modelling techniques, database design, optimization, and query tuning.</li><li>Familiarity with one or more RDBMS like Microsoft SQL Server, Oracle, PostgreSQL.</li><li>Familiarity with architectural patterns like SOA (Service-Oriented Architecture), microservices design patterns, message brokers (e.g., Apache Kafka) and integration frameworks (e.g., Apache Camel).</li><li>Prior experience in a banking environment will be considered an asset.</li></ul>What we offer&nbsp;It’s all about our people. At Alpha Bank, you will enjoy:&nbsp;<ul><li>A friendly and collaborative working environment that supports taking initiative and action.</li><li>A culture that centers around learning and continuous development and encourages everyone to bring their best self to work.</li><li>The opportunity to challenge your thinking through your participation in complex tasks and transformation projects.</li><li>Being part of a large organization with a leading role in the Greek economy and a strong presence in the community.</li><li>Flexible working options.</li><li>A competitive salary and benefits.</li></ul>&nbsp;All applications will be acknowledged and treated in utmost confidence.

Solution Architect

We are looking for a Technical Lead / Senior Software Engineer who combines strong hands-on engineering skills with a growing ability to lead technical delivery across projects. In this role, you will act as the Technical owner and Lead Developer of a project or major feature, driving design decisions, coordinating across teams (Frontend, Backend, AI &amp; Data), and ensuring high-quality delivery.You will work closely with our Solutions Architects, PMs and Business Analysts contributing to the implementation of scalable, cloud-native systems — including modern AI-enabled solutions (LLMs, RAG, integrations). This is not a pure coding role — it is a step into technical leadership, with strong growth potential toward Architect or Engineering Lead positions. The key responsibilities of this role will include:Technical Ownership &amp; Delivery<ul><li>Own end-to-end technical delivery of a project or feature</li><li>Coordinate implementation across teams (FE, BE, AI)</li><li>Ensure integration and delivery quality</li></ul>Solution Design &amp; Architecture<ul><li>Design and implement microservices-based architectures using Spring Boot</li><li>Contribute to event-driven systems and integrations (Kafka, messaging, APIs)</li><li>Define and review data models across relational (Postgres, MySQL) and NoSQL databases</li><li>Collaborate with Architects to align with target architecture and best practices</li></ul>AI-enabled Systems<ul><li>Support integration of AI/ML components</li><li>Work with LLM-based systems (RAG, APIs)</li><li>Collaborate with AI specialists</li></ul>Collaboration &amp; Communication<ul><li>Act as main technical contact within project</li><li>Participate in client discussions</li><li>Communicate risks and decisions clearly</li></ul>Leadership &amp; Mentoring<ul><li>Guide junior and mid-level engineers</li><li>Lead code reviews and design discussions</li></ul>To be successful at this role you need the following (hard and soft skills):<ul><li>5–8+ years of experience in Software engineering (Java ecosystem)</li><li>Strong hands-on experience with Spring/Spring Boot, Microservices architecture and REST APIs</li><li>Solid understanding of Relational databases (Postgres, MySQL)</li><li>Experience with Event-driven architectures and messaging systems (e.g., Kafka, RabbitMQ)</li><li>Familiarity with Cloud environments (Azure preferred), Docker and Kubernetes</li><li>Strong problem-solving skills and ownership mindset</li><li>Demonstrated ability to take ownership of features or projects</li><li>Strong communication skills (team and stakeholder level)</li><li>Ability to coordinate across multiple teams</li><li>Proactive attitude, identify problems and drive solutions</li></ul>What’s in it for You?At Grant Thornton Greece, we believe that great work deserves great rewards! Here’s what you can look forward to:<ul><li>🌈 Diverse and inclusive workplace</li><li>🏋️‍♂️ Friendly, Dynamic Working environment</li><li>💰 Competitive Salary &amp; Bonus</li><li>🩺 Insurance Program for all GT members</li><li>👩‍🏫 Fully funded Training &amp; Professional Qualifications</li><li>🏖 Extra Days-off: August Freedays, Volunteering Days</li><li>🏃🏽‍♂️ Corporate Sports Teams (e.g., Running, Basketball, Volleyball)</li><li>🎁 Exclusive Discounts: Special offers and discounts for employees</li><li>🚗 Company Car (depending on job level)</li></ul>

Technical Lead / Senior Software Engineer (Java, Cloud & AI-enabled Solutions)

We are looking for an experienced Senior Cloud Software Engineer to strengthen and further enhance our Application Development team.&nbsp; The ideal candidate is a strong software engineer with deep experience in modern web development, cloud-native application architecture, and backend development. The role combines hands-on technical leadership, solution design and team coordination within enterprise-scale projects.Candidates with experience in modern cloud platforms and enterprise web application development are encouraged to apply.&nbsp;Key Responsibilities&nbsp;Application Development &amp;&nbsp;Technical Leadership<ul><li>Design and implement cloud-native applications.</li><li>Promote and enforce coding standards, development guidelines, and architectural best practices.</li><li>Design and implement data models and database interactions using SQL.</li><li>Build modern web user interfaces and enterprise applications.</li><li>Ensure applications follow secure and scalable cloud architecture principles.</li><li>Implement application logic using modern programming languages and frameworks, including JavaScript and Node.js.</li><li>Develop scalable backend services and APIs for enterprise applications.</li><li>Understanding of modern AI capabilities and their practical application in software engineering, including incorporating AI-powered features into applications and effectively leveraging AI-assisted development tools to improve development productivity.</li></ul>&nbsp;Cloud &amp; DevOps<ul><li>Design and implement solutions in cloud environments.</li><li>Contribute to CI/CD pipelines, automated deployment, and DevOps practices.</li></ul>&nbsp;Team &amp; Project&nbsp;Management<ul><li>Provide technical mentorship and guidance to developers.</li><li>Participate in architecture decisions and solution design.</li><li>Collaborate with integration, automation, and AI teams to deliver end-to-end solutions.</li><li>Support project planning, estimations, and technical roadmap definition.</li></ul>&nbsp;Qualifications&nbsp;Technical Skills<ul><li>Strong understanding of software engineering principles and backend development</li><li>Solid knowledge of SQL and database design</li><li>Strong programming experience with JavaScript and Node.js</li><li>Experience developing applications in cloud environments</li><li>Experience with microservices architectures</li><li>Understanding of CI/CD processes and DevOps practices</li><li>Understanding of modern AI capabilities and ability to leverage AI-assisted development tools to enhance software development productivity and code quality</li></ul>&nbsp;Professional Experience<ul><li>5+ years of professional experience in software engineering</li><li>Experience contributing to team development through knowledge sharing, mentoring, and promotion of engineering best practices.</li><li>Experience working on enterprise-scale software projects</li></ul>&nbsp;Soft Skills<ul><li>Strong analytical and problem-solving skills</li><li>Ability to lead technical discussions and architecture decisions</li><li>Excellent communication and collaboration skills</li><li>Ability to work in cross-functional teams</li><li>Strong ownership and accountability mindset</li></ul>&nbsp;Preferred Qualifications (Nice to Have)<ul><li>Experience with SAP BTP and SAP Programming frameworks (CAP, Fiori/SAPUI5)</li><li>Familiarity with enterprise integration patterns</li></ul>

SENIOR CLOUD SOFTWARE ENGINEER

We are looking for a new BI and Reporting Engineer to join our team and help shape the future of gaming! As BI &amp; Reporting Engineer at INTRALOT, you’ll contribute to the design and delivery of robust, business-critical reporting solutions that support operational efficiency and data-driven decision-making across our global teams. What you'll do:<ul><li>Create and maintain optimal data pipeline for optimal extraction, transformation, and loading of data from a wide variety of data sources</li><li>Assemble large, complex data sets that meet functional / non-functional business requirements</li><li>Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.</li><li>Build operational and non-operational reporting using SQL that meets the business needs.</li></ul>&nbsp;What we’re looking for:<ul><li>Holding University or College Degree in Computer Science, Software Engineering or relevant technology-related field</li><li>Having &nbsp;2+years of demonstrated professional experience in designing and developing automated reports</li><li>Relational databases, such as MySQL, MS SQL Server, etc.</li><li>Experience in design tools such as Jasper reports, Power BI, Tableau</li><li>Experience in Databricks will be considered a plus &nbsp;</li><li>Excellent command of written and verbal English / Greek languages</li></ul>&nbsp;&nbsp;&nbsp;Job requirementsTo thrive in this role, you should have:<ul><li>Holding University or College Degree in Computer Science, Software Engineering or relevant technology-related field</li><li>&nbsp; Having &nbsp;2+years of demonstrated professional experience in designing and developing automated reports</li><li>&nbsp; Relational databases, such as MySQL, MS SQL Server, etc.</li><li>&nbsp; Experience in design tools such as Jasper reports, Power BI, Tableau</li><li>&nbsp; Experience in Databricks will be considered a plus &nbsp;</li><li>Excellent command of written and verbal English / Greek languages</li></ul>&nbsp;About Us: INTRALOT, a publicly listed company established in 1992, is a leading gaming solutions supplier and operator active in 40 regulated jurisdictions worldwide. With a global workforce of approximately 1,700 employees, INTRALOT is committed to redefine innovation and quality of services in the lottery and gaming sector, while supporting operators in raising funds for good causes. In 2025, INTRALOT was distinguished as a top ten most attractive employer brands in Greece.INTRALOT has been awarded the prestigious WLA Responsible Gaming Framework Certification by the World Lottery Association. We always act with integrity and enjoy what we do.&nbsp;Why Join Us:💸 A competitive compensation package combined with additional benefits.💻 Hybrid working model.🏥 Private Insurance for you and your family.🏢 Modern facilities, parking inside, enticing restaurant and corporate bus.📚 An extensive training program upon induction and throughout employment.🚀 Exceptional opportunities to learn and develop in a multinational environment.🌎 Prospects for professional growth both locally and globally.

BI and Reporting Engineer

n this “hands-on” position, you will design, build, and deploy production-grade AI systems that will power enterprise-scale capabilities across the Clinical Development &amp; Operations organization. This is a high-impact role for a builder who thrives on solving real-world business problems in a complex, data-rich, and regulated environment. You will be instrumental in advancing the practical application of LLMs and agentic AI by identifying high-value use cases, developing reusable workflows, and partnering with stakeholders to drive adoption and impact. Combining deep expertise in software engineering and machine learning, you will take solutions from prototype to production, embedding MLOps best practices to ensure they are reliable, scalable, and reproducible. You will drive business transformation through proactive thought-leadership, innovative analytical capabilities, and the ability to communicate highly complex information in new and creative ways.WHAT YOU"LL DODevelop and Implement AI Solutions<ul><li>Build and deploy AI/ML models and solutions that support process-heavy workflows (e.g. protocol feasibility and site selection, study start-up etc.) including documentation, and operational reporting.</li><li>Contribute to the automation of manual and repetitive activities to improve speed, quality, and consistency.</li></ul>Strengthen Operational Decision-Making<ul><li>Develop predictive, optimization, and scenario-based models to support clinical trial supply forecasting and operational planning.</li><li>Create and maintain dashboards and decision-support tools that translate complex data into actionable insights for CD&amp;O leadership and operational teams.</li></ul>Engineer Production-Grade AI Systems<ul><li>Implement AI solutions that are aligned with data integrity standards and governance best practices, including model validation, versioning, and monitoring.</li><li>Design and implement AI agentic solutions that can plan and execute multi-step workflows.</li><li>Build robust, production-ready ML and analytics pipelines with a focus on reproducibility and scalability.</li><li>Deploy AI solutions in cloud environments, ensuring reliability, security, and seamless integration with existing systems.</li></ul>Collaborate Across Disciplines<ul><li>Partner closely with CD&amp;O line teams, scientists, and Digital partners to ensure that AI efforts remain tightly aligned to real scientific needs and can be deployed in ways that are trusted, scalable, and adopted in day-to-day work.</li><li>Champion best practices in AI engineering system lifecycle.</li></ul> &nbsp;BASIC MINIMUM QUALIFICATIONS<ul><li>PhD in Computer Science, Machine Learning, Data Science, Software Engineering, AI, or a related discipline and a minimum of 5 years of applied analytical experience with demonstrated impact in operations, automation, business analytics, or decision support OR</li><li>Master’s in Computer Science, Machine Learning, Data Science, Software Engineering, AI, or a related discipline and a minimum of 7 years of applied analytical experience with demonstrated impact in operations, automation, business analytics, or decision support.</li><li>Strong hands-on experience applying LLMs, generative AI, machine learning, or related AI approaches to real-world workflows, products, or analytical use cases, ideally within R&amp;D, clinical operations or large-scale regulated organizations.</li><li>Experience building practical, reusable workflows or systems rather than one-off analyses, with strong implementation skills in Python and modern AI / ML tooling.</li><li>Sound judgment regarding methodological rigor, model limitations, evaluation, and the appropriate role of human oversight in AI-enabled workflows.</li><li>Experience working directly with domain users or stakeholders to translate ambiguous needs into useful technical solutions, with evidence of strong collaboration and communication skills.</li></ul>TECHNICAL SKILLSET<ul><li>AI Engineering/ Framework: Strong hands‑on experience with Python building ML/DL with libraries (e.g. TensorFlow, PyTorch, Keras, Scikit-learn), and LLM‑based systems and agentic frameworks including RAG architectures, prompt engineering, embeddings, fine‑tuning, evaluation and orchestration (e.g. ADK, LangChain, LangGraph, Vertex AI, Claude).</li><li>Software &amp; Data Engineering/ Framework: Experience with Java, JavaScript/TypeScript, React, FastAPI, SQL/PostgreSQL, Snowflake, S3, and enterprise data and knowledge systems (e.g. BigQuery, Neo4j).</li><li>Cloud, DevOps &amp; MLOps: Proficient with Git, Docker, CI/CD, and cloud platforms (AWS/GCP/Azure), with a strong focus on reproducibility, deployment, monitoring, and production‑ready MLOps.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Experience in life sciences, pharma, biotech, systems biology, immunology, translational science, omics, or related research environments.</li><li>Experience operating across scientific and technical disciplines, with enough domain fluency to engage credibly with scientists while still bringing a strong applied-AI builder mindset.</li></ul>

Director, AI Engineering--Clinical Development and Operations (CD&O) 4955843

Intellectica is recruiting a highly skilled Senior Autonomous Systems Engineer for a newly established AI &amp; Machine Learning spinoff within a leading aerospace, defense, and high-technology group, based in Psixiko, Atttiki, operating under a hybrid working model. Reporting directly to the CTO, the ideal candidate will actively contribute to the design and development of next-generation autonomous and intelligent systems. Working across the full autonomous systems stack, from perception and planning to system orchestration and deployment, the candidate will shape scalable, production-grade AI-driven platforms.&nbsp;Key activities and responsibilities of this role include:&nbsp;<ul><li>Design and evolve the software architecture of advanced autonomous systems and high-performance AI platforms, in collaboration with cross-functional teams (ML, Data Science, Vision AI)</li><li>Own and drive the end-to-end implementation of complex features within autonomous frameworks, ensuring scalability and performance</li><li>Develop robust, high-performance software components primarily in C++ and Python, adhering to engineering best practices</li><li>Design and implement core modules across perception, sensor fusion, localization, planning, control, and decision-making systems</li><li>Integrate and optimize autonomous frameworks and middleware stacks for real-world deployment, including close collaboration with AI/ML engineers for production-grade systems</li><li>Contribute to simulation environments, validation pipelines, and hardware/software integration, ensuring system-level consistency and performance</li><li>Drive code quality and system reliability through peer reviews, testing strategies (unit, integration, simulation, stress), and identification of architectural improvements and performance bottlenecks</li><li>Support CI/CD pipelines and deployment workflows, while ensuring quality, safety, cybersecurity, and reliability across the full product lifecycle, and contributing to mentoring and engineering excellence initiatives</li><li>Represent the organization in technical discussions, meetups, conferences, and customer-facing innovation initiatives</li></ul>&nbsp;Professional experience &amp; qualifications of a successful candidate:&nbsp;<ul><li>Bachelor’s degree in Computer Science, Electrical &amp; Computer Engineering, Robotics, Mechanical Engineering, or a related technical field</li><li>5+ years of professional experience in Autonomous Systems, Robotics, or Software Engineering, with strong expertise in C++ and Python</li><li>Proven experience working with autonomous frameworks, robotics middleware, and real-time distributed systems</li><li>Solid understanding of key autonomy domains, including perception, localization, sensor fusion, planning, and control</li><li>Strong software engineering foundation, including multithreading, system design, APIs, performance optimization, and development in Linux environments</li><li>Hands-on experience with hardware–software integration, including working with sensor systems (LiDAR, cameras, GNSS, IMUs, radar)</li><li>Experience with ROS/ROS2 ecosystems, including data formats, as well as simulation and validation environments for autonomous systems</li><li>Familiarity with CI/CD pipelines, Docker, containerized environments, and modern development workflows</li><li>Exposure to cloud-native architectures, edge computing, GPU acceleration, or high-performance computing</li><li>Knowledge of functional safety, cybersecurity, and experience integrating AI/ML models into production-grade autonomous systems</li><li>Proficient in Greek and English</li></ul>&nbsp;Core competencies of a successful candidate:<ul><li>Strong analytical and problem-solving skills with the ability to decompose complex technical challenges</li><li>Passion for building reliable, scalable, and intelligent autonomous systems</li><li>Ability to work effectively in interdisciplinary teams with highly skilled engineers and scientists</li><li>Strong communication skills and the ability to explain complex technical concepts in a structured manner</li><li>You embrace a feedback culture and actively contribute to continuous improvement</li><li>High sense of ownership, accountability, and engineering craftsmanship</li></ul>

Senior Autonomous Systems Engineer

Powering global sports betting platforms where performance and real-time data matter.Ready to make an impact?What You’ll DoAs a DevOps Engineer, you’ll play a vital role in enhancing operations and contributing to the delivery of high-quality software. Your contributions will make a difference as you:🚀 Support Scalable Systems – Contribute to the design and maintenance of secure, robust, and high-performance infrastructure for our global gaming platforms.⚙️ Drive Automation – Help implement and refine CI/CD pipelines using tools like Jenkins, GitHub Actions, or CircleCI.🌐 Manage the Cloud – Assist in maintaining cloud environments (AWS or Azure) to ensure efficiency and scalability.📦 Leverage Containers – Optimize and manage containerized applications using Docker and Kubernetes.📜 Support Infrastructure as Code (IaC) – Collaborate on infrastructure provisioning and configuration with tools like Terraform and Ansible.🔍 Monitor Effectively – Develop and maintain monitoring, logging, and alerting systems with Prometheus, Grafana, and ELK.🔗 Work with Data Streams – Help optimize real-time data flows and messaging systems with Kafka.🤝 Collaborate Across Teams – Work closely with software teams to promote a DevOps-first culture.Job requirementsWhat You’ll BringWe’re looking for an enthusiastic and driven individual with:🌟 Experience: 3+ years in a DevOps or related role.🐧 Linux Expertise: Excellent knowledge and hands-on experience with Linux systems.☁️ Cloud Knowledge: Hands-on experience with AWS or Azure.💻 Scripting Skills: Proficiency in scripting/programming languages like Python, Bash, or Go.🐳 Containerization: Familiarity with Docker and Kubernetes.⚡ IaC Basics: Experience with tools like Terraform and Ansible.🔄 CI/CD Enthusiasm: Exposure to CI/CD tools such as Jenkins, GitHub Actions, or Bamboo.🛠️ Monitoring Skills: Experience with monitoring and logging tools like Prometheus and Grafana.🌐 Communication: Strong collaboration and communication skills in both Greek and English.

DevOps Engineer (Sports Betting)

We are currently looking for a&nbsp;Surveyor&nbsp;to join our&nbsp;M-Renewables team in one of our solar parks projects in Domokos.&nbsp;As a Surveyor you will play a key role in conducting site surveys and assessments to ensure the successful planning and execution of construction projects. You will gather and analyze data, collaborate with various stakeholders, and provide essential information to guide project development.&nbsp;Your role will encompass:<ul><li>Conduct site surveys to collect data on land conditions, topography, and project boundaries</li><li>Prepare detailed survey reports and maps to assist in project planning and design</li><li>Collaborate with engineers, architects, and project managers to ensure accurate data is available for decision-making</li><li>Utilize surveying equipment and technology to perform measurements and analyses</li><li>Ensure compliance with relevant regulations and standards during surveying activities</li></ul>&nbsp;What you bring to the role:<ul><li>Bachelor’s degree in Civil, Electrical or Mechanical Engineering, Surveying or related fields</li><li>1+ years of experience in similar role</li><li>Strong knowledge of surveying techniques, tools, and software</li><li>Excellent communication and interpersonal skills</li><li>Proficiency in relevant&nbsp;software and Microsoft Office Suite</li></ul>&nbsp;Share the same Value Based Behaviors:&nbsp;&nbsp;<ul><li>People &amp; Personal growth&nbsp;&nbsp;</li><li>Results orientation &amp; Safety excellence&nbsp;&nbsp;</li><li>Collaboration &amp; Trust&nbsp;&nbsp;</li><li>Empathy &amp; Effective communication&nbsp;&nbsp;</li><li>Flexibility &amp; Adaptability&nbsp;</li></ul>&nbsp;Your Benefits:<ul><li>Competitive remuneration package</li><li>Ticket Restaurant Card</li><li>Group Health Insurance Plan</li><li>Preferential household electricity plan&nbsp;</li><li>Pension Plan</li></ul>&nbsp;

Surveyor

Intellectica is recruiting an experienced Survey Engineer on behalf of its client, a leading provider of specialized engineering solutions for subsea cable installation and offshore energy infrastructure. Renowned for its technical excellence, high‑performance offshore operations and quality‑driven project delivery, the company is expanding its survey and reporting capabilities to support a growing portfolio of international subsea cable projects. Based in Attiki, Greece, the Survey Engineer will work closely with Project Engineers, Cable Engineers and offshore survey teams. The successful candidate will be responsible for compiling, maintaining and validating all survey deliverables.&nbsp;Key activities and responsibilities of this role include:&nbsp;<ul><li>Producing and maintaining survey deliverables for subsea cable installation projects, including As‑Built Route Position Lists (RPL), As‑Laid and As‑Buried coordinate lists, and final documentation packages</li><li>Processing offshore installation datasets such as vessel positioning data, layback calculations, plough burial data and cable lay logs</li><li>Updating and managing route drawings, survey charts and project documentation using AutoCAD, AutoChart, GIS or equivalent drafting/charting tools</li><li>Verifying accuracy, consistency and completeness of all survey‑related data prior to client submission</li><li>Preparing and updating As‑Laid charts, route maps and technical illustrations according to project templates and client specifications</li><li>Compiling survey reports, coordinate lists, route drawings and other as‑built documentation for inclusion in final project packages</li><li>Maintaining precise technical records and ensuring full traceability of installation data</li><li>Liaising with Cable Engineers, Project Engineers and offshore survey teams to validate installation records and resolve inconsistencies</li><li>Coordinating with shore‑end / land survey teams for data integration in HDD landfalls, beach manholes and transition joint areas</li><li>Supporting internal and external audits by providing accurate survey documentation and revisions when required</li><li>Ensuring that all survey deliverables adhere to applicable standards, coordinate systems (WGS84, UTM, local grids) and internal quality protocols</li><li>Contributing to continuous improvement of survey workflows, templates and data‑management practices</li><li>Any other task that may be required from time to time</li></ul>&nbsp;Professional experience &amp; qualifications of a successful candidate:&nbsp;<ul><li>Bachelor’s degree in Engineering (e.g., Civil, Mechanical, Electrical, Marine or related field)</li><li>Prior experience working with survey datasets, positioning data or offshore installation records (subsea cable experience is a strong advantage)</li><li>Familiarity with hydrographic survey data, coordinate systems (WGS84, UTM, local grid transformations) and relevant industry standards</li><li>Proficiency in AutoCAD and/or drafting/charting software (AutoChart, QGIS, GIS platforms)</li><li>Experience working with vessel positioning data, layback calculations and burial/installation logs</li><li>Strong ability to manage large datasets, maintain accurate technical records and prepare client‑ready documentation</li><li>Excellent command of Microsoft Office (Excel, Word, PowerPoint)</li><li>Fluency in Greek and English, both written and spoken</li></ul>&nbsp;Core competencies of a successful candidate:<ul><li>Strong analytical and data‑processing mindset</li><li>Detail‑oriented and highly organized</li><li>Clear communicator with ability to coordinate across teams</li><li>Proactive problem‑solver with strong technical judgement</li><li>Reliable, structured and quality‑focused in deliverables</li><li>Ability to work effectively in fast‑paced project environments</li></ul>

Survey Engineer

Our Client is expanding its AI &amp; Data division and is looking for an experienced Machine Learning Engineer to design, develop, and deploy advanced ML solutions that power automation and digital transformation initiatives.This role combines hands-on engineering with technical leadership, focusing on creating scalable, production-ready ML systems that support real-world business processes.Key Responsibilities<ul><li>Design, develop, and integrate machine learning models into production environments.</li><li>Build and maintain data pipelines and model training workflows to ensure reliable and automated processes.</li><li>Develop and enhance the company’s MLOps infrastructure for model lifecycle management, automation, and monitoring.</li><li>Write production-grade Python code and build APIs or services that expose ML models to business applications.</li><li>Continuously monitor, evaluate, and retrain models to maintain accuracy and performance.</li><li>Collaborate with data engineers, annotation teams, software developers, and product managers to align solutions with business objectives.</li><li>Participate in code reviews, documentation, and the definition of engineering best practices.</li></ul>Requirements<ul><li>Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related discipline.</li><li>3&nbsp; years of hands-on experience developing and deploying machine learning models.</li><li>Proven people management or team leadership experience.</li><li>Strong proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Solid understanding of MLOps tools and practices (e.g., MLflow, Kubeflow, Airflow).</li><li>Working knowledge of cloud platforms such as AWS, GCP, or Azure.</li><li>Excellent analytical thinking, problem-solving, and communication skills.</li><li>Fluent in English, both written and spoken.</li></ul>Nice to Have<ul><li>Experience with document understanding, OCR, or NLP models.</li><li>Familiarity with containerization (Docker, Kubernetes) and CI/CD for ML pipelines.</li><li>Exposure to data governance, model monitoring, or AI observability tools.</li></ul>Why Join Them<ul><li>You’ll be part of a growing AI team within a well-established organization that is transforming its services through technology.</li><li>You’ll work on end-to-end ML systems, from data ingestion to deployment, with real business impact across automation and document intelligence domains.</li><li>If you’re passionate about building scalable ML products and want to see your models running in production, this is the right environment for you.</li></ul>

Mid ML Engineer

Our Client is expanding its AI &amp; Data division and is looking for an experienced Machine Learning Engineer&nbsp;to design, develop, and deploy advanced ML solutions that power automation and digital transformation initiatives. This role combines&nbsp;hands-on engineering&nbsp;with&nbsp;technical leadership, focusing on creating scalable, production-ready ML systems that support real-world business processes.Key Responsibilities<ul><li>Design, develop, and integrate&nbsp;machine learning models&nbsp;into production environments.</li><li>Build and maintain&nbsp;data pipelines&nbsp;and&nbsp;model training workflows&nbsp;to ensure reliable and automated processes.</li><li>Develop and enhance the company’s&nbsp;MLOps infrastructure&nbsp;for model lifecycle management, automation, and monitoring.</li><li>Write&nbsp;production-grade Python code&nbsp;and build APIs or services that expose ML models to business applications.</li><li>Continuously monitor, evaluate, and retrain models to maintain accuracy and performance.</li><li>Collaborate with&nbsp;data engineers, annotation teams, software developers, and product managers&nbsp;to align solutions with business objectives.</li><li>Participate in&nbsp;code reviews, documentation, and the definition of engineering best practices.</li></ul>Requirements<ul><li>Bachelor’s or Master’s degree in&nbsp;Computer Science, Mathematics, Statistics, or a related discipline.</li><li>4 + years&nbsp;of hands-on experience developing and deploying machine learning models.</li><li>Proven&nbsp;people management or team leadership experience.</li><li>Strong proficiency in&nbsp;Python&nbsp;and ML libraries (e.g.,&nbsp;scikit-learn, TensorFlow, PyTorch).</li><li>Solid understanding of&nbsp;MLOps tools and practices&nbsp;(e.g.,&nbsp;MLflow, Kubeflow, Airflow).</li><li>Working knowledge of&nbsp;cloud platforms&nbsp;such as AWS, GCP, or Azure.</li><li>Excellent&nbsp;analytical thinking,&nbsp;problem-solving, and&nbsp;communication skills.</li><li>Fluent in&nbsp;English, both written and spoken.</li></ul>Nice to Have<ul><li>Experience with&nbsp;document understanding,&nbsp;OCR, or&nbsp;NLP&nbsp;models.</li><li>Familiarity with&nbsp;containerization&nbsp;(Docker, Kubernetes) and CI/CD for ML pipelines.</li><li>Exposure to&nbsp;data governance,&nbsp;model monitoring, or&nbsp;AI observability&nbsp;tools.</li></ul>Why Join Them<ul><li>You’ll be part of a growing AI team within a well-established organization that is transforming its services through technology.</li><li>You’ll work on end-to-end ML systems, from data ingestion to deployment, with real business impact across automation and document intelligence domains.</li><li>If you’re passionate about building scalable ML products and want to see your models running in production, this is the right environment for you.</li></ul>&nbsp;

Senior ML Engineer

<h2>Περιγραφή Θέσης</h2>We are currently searching to hire a Systems &amp; Networks Engineer, for the IT Division of KonKat ATE (Maternity Cover, 1 year contract). The individual will monitor the systems and networks infrastructure, upgrade on premise infrastructure, expanding to Cloud services, as well as maintain the computer networks.<h2>Κύριες Αρμοδιότητες Ρόλου</h2><ul><li>Maintains and upgrades data center infrastructure to ensure reliability and performance.</li><li>Designs, implements and supports the organization’s network systems (LAN, WAN, Data Center).</li><li>Handles hardware, software and configuration issues of the network equipment.</li><li>Designing and implementing network and systems security mechanisms, harmonized with organization’s policy.</li><li>Proceeds with troubleshooting technical issues and provides technical assistance with hardware and network issues.</li><li>Participates in IT projects, ensuring the efficient connection between the implemented information systems.</li></ul><h2>Κύρια Προσόντα</h2><ul><li>Bachelor’s degree in Computer Science or other relevant discipline</li><li>Minimum 2 years previous experience as a Systems and Networks Engineer or related position</li><li>Experienced in Cisco network technologies management and configuration</li><li>Knowledge in network security solutions (Firewalls, IDS / IPS, WAF)</li><li>Familiar with virtualization platforms (e.g. VMware) and operating systems (Windows, Linux)</li><li>Certification on CCNA/CCNP will be considered an asset</li><li>Fluency in English and Greek, both oral and written</li></ul><h2>Επιπλέον Χαρακτηριστικά</h2><ul><li>Communication &amp; interpersonal skills</li><li>Analytical &amp; critical thinking</li><li>Attention to detail &amp; problem-solving skills</li><li>Flexibility and adaptability</li><li>Teamwork spirit and collaboration</li></ul>

Systems and Network Engineer 1

DescriptionRuicheng Construction Engineering Co., Ltd. is a new construction company jointly established by Greek and Chinese shareholders. It aims to integrate the advantages of both countries in the construction sector and further develop the Greek market.Responsibilities·&nbsp;Prepare, estimate and adjust enterprise and project budgets to ensure accurate and practical budget data;·&nbsp;Monitor budget implementation, analyze variances between budget and actual expenditure, provide optimization suggestions and control costs;·&nbsp;Cooperate with engineering, finance and other relevant departments to complete project quantity calculation, cost estimation and settlement work; organize budget documents and reports to ensure standardized filing and easy access;·&nbsp;Comply with local Greek financial and engineering regulations to ensure compliant budget operations.Requirements·&nbsp;University/technical university degree in Finance, Accounting, Engineering Management or related fields is preferred.·&nbsp;1–3 years of relevant budgeting experience, experience in the construction industry is a plus;·&nbsp;Familiar with local Greek financial regulations and budgeting procedures, with basic engineering knowledge;·&nbsp;Proficient in office software (Excel, Word, etc.) with good data analysis skills;·&nbsp;Good English communication skills for daily work;·&nbsp;Meticulous, responsible and a good team player.We Offer·&nbsp;Competitive salary and benefits·&nbsp;Continuous career development opportunities·&nbsp;Friendly and professional working environment

Budget Officer

Budget Estimator

We are looking for a MLOps/DevOps Engineer to support the development, deployment, and scaling of modern cloud-native and AI-driven systems. This role sits at the intersection of Software Engineering, Cloud Infrastructure, and AI/ML operations. You will work closely with Engineering, AI, and Data teams to ensure that applications and ML models are reliable, scalable, and production-ready.This is a hands-on role with strong growth potential toward Senior DevOps, MLOps Specialist, or Platform Engineer positions. The key responsibilities of this role will include:• Support CI/CD pipelines for application and service deployments (Azure DevOps) • Assist in managing cloud infrastructure (primarily Azure) • Work with containerized environments (Docker, Kubernetes) • Support deployment and lifecycle management of ML/AI models• Support deployment of React/Spring boot applications • Work with LLM-based systems (APIs, RAG pipelines, integrations) • Improve system reliability through monitoring and alerting tools • Contribute to logging, observability, and incident response processes • Collaborate with Software Engineers, Data Scientists, and AI Engineers • Support integration of backend systems with AI components • Communicate technical issues and solutions clearly to stakeholders • Identify inefficiencies and proactively propose automation solutionsTo be successful at this role you need the following (hard and soft skills):• BSc. in Computer Science, Engineering, or a related discipline• Up to 3 years of experience in DevOps, Cloud Engineering, or similar roles • Basic understanding of CI/CD pipelines and DevOps practices• Familiarity with deployments, APIs, or pipelines • Hands-on experience with Docker and exposure to Kubernetes • Familiarity with Cloud platforms (Azure preferred) • Understanding of Linux environments and scripting (Bash/Python)<ul><li>Strong problem-solving mindset</li><li>Willingness to learn and grow in a fast-evolving environment</li><li>Ability to collaborate effectively across technical teams</li><li>Clear communication skills for both technical and non-technical audiences</li><li>Proactive attitude with strong ownership mentality</li></ul>Strong Assets:<ul><li>Understanding of LLM concepts (APIs, prompt-based systems, RAG)</li><li>Exposure to ML workflows or AI systems</li><li>Exposure to monitoring tools (e.g., Prometheus, Grafana, Azure Monitor)</li><li>Basic knowledge of Infrastructure as Code (IaC)</li></ul>What’s in it for You?At Grant Thornton Greece, we believe that great work deserves great rewards! Here’s what you can look forward to:<ul><li>🌈 Diverse and inclusive workplace</li><li>🏋️‍♂️ Friendly, Dynamic Working environment</li><li>💰 Competitive Salary &amp; Bonus</li><li>🩺 Insurance Program for all GT members</li><li>👩‍🏫 Fully funded Training &amp; Professional Qualifications</li><li>🏖 Extra Days-off: August Freedays, Volunteering Days</li><li>🏃🏽‍♂️ Corporate Sports Teams (e.g., Running, Basketball, Volleyball)</li><li>🎁 Exclusive Discounts: Special offers and discounts for employees</li><li>🚗 Company Car (depending on job level)</li></ul>

MLOps/DevOps Engineer

Intellectica is recruiting a Documentation Engineer on behalf of its client, a leading provider of engineering solutions for subsea cable installation and offshore energy infrastructure. With a strong focus on technical excellence and reliable project delivery, the company is expanding its team to support a growing portfolio of international projects. Based in Attiki, Greece, the role reports to the to the Operations Manager of the Offshore &amp; Marine Construction Division and will take full ownership of technical reporting and project documentation across all phases. This is an excellent opportunity for a detail‑driven professional who wants to contribute to high‑impact offshore projects within a fast‑growing international environment.&nbsp;Key activities and responsibilities of this role include:&nbsp;<ul><li>Owning the compilation and delivery of all project documentation, including daily, weekly and final reporting packages</li><li>Processing and organizing survey outputs and burial data, ensuring accuracy, consistency and correct formatting for internal use and client submission</li><li>Preparing as‑laid and as‑built documentation, integrating survey data, installation records and engineering inputs into complete, auditable dossiers</li><li>Producing clear, structured and technically accurate reports, aligned with client specifications, project requirements and internal quality standards</li><li>Managing document control activities, including versioning, traceability, file naming conventions and controlled distribution across project stakeholders</li><li>Coordinating review and approval cycles, ensuring timely contributions from engineering, survey and project teams</li><li>Ensuring documentation compliance with contractual, technical and regulatory requirements throughout the project lifecycle</li><li>Supporting project teams during planning and execution, providing documentation updates, clarifications and structured data organization</li><li>Any other task that may be required from time to time</li></ul>&nbsp;&nbsp;Professional experience &amp; qualifications of a successful candidate:<ul><li>Bachelor’s Degree in Engineering, or a related field</li><li>Professional experience in offshore, subsea, survey or marine projects, ideally involving reporting, survey data handling or documentation preparation</li><li>Familiarity with EIVA, Makai or similar survey/engineering software is highly preferred</li><li>Strong technical writing skills, with the ability to produce structured, accurate and client‑ready documentation</li><li>Comfortable working with survey datasets, offshore logs, installation records and other technical project inputs</li><li>Proficient in MS Office, especially Word and Excel; experience with document management systems is an advantage</li><li>Excellent command of Greek and English (spoken and written)</li></ul>&nbsp;Core competencies of a successful candidate:<ul><li>Analytical and structured thinking</li><li>High attention to detail, accuracy and clarity</li><li>Strong organizational skills</li><li>Reliable under deadlines</li><li>Collaborative and team-focused mindset</li><li>Clear and confident communicator</li><li>Adaptable and proactive problem-solving</li></ul>

Documentation Engineer

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

Participates in digital transformation initiatives within manufacturing operations. Focuses on automation, system integration, and Industry 4.0 solutions, bridging IT and operational technology (OT) environments. The position requires a strong technical background, particularly in software development, to effectively manage complex manufacturing-related IT projects.Responsibilities:<ul><li>Designing, developing, and testing automation solutions within machinery and industrial environments</li><li>Identifying opportunities for process optimization through digital technologies</li><li>Supporting and contributing to Industry 4.0 initiatives, including smart factory concepts and data-driven manufacturing</li><li>Eliminating defects and errors within product and software development</li><li>Participating in and complying with quality and IT standards, cybersecurity requirements, and industrial best practices</li><li>Implementation and maintenance of custom software solutions, including machine-to-machine (M2M) integration</li><li>Collaborating with cross-functional teams to implement Manufacturing Execution Systems (MES)</li></ul>Qualifications:<ul><li>Bachelor’s degree in electrical engineering, software engineering, or a similar field</li><li>Advanced English skills (verbal and written communication)</li><li>Proficiency in maintaining automation systems and industrial IT/OT integrations</li><li>Understanding of robotics (ROS), AI, and machine learning</li><li>Advanced troubleshooting, multitasking, and analytical skills</li><li>Proficiency in a compiled programming language such as Python, C#, VBA, Java, or other selected languages</li><li>Familiarity with IoT, OPC UA, MQTT, or similar industrial communication protocols</li><li>Exposure to lean manufacturing or continuous improvement initiatives</li><li>Strong willingness to adapt and overcome challenging situations, and ability to keep up with the latest technologies</li></ul>

IT Project Manager

We are the 1st Hub for Developers! Our motto is “From Developers to Developers”! Our vision is to provide real career opportunities for candidates that want to take the next step in their career. Code.Career is the first process that you will speak with developers (only!) and tech (freak) experts!About the RoleOur Client is expanding its AI &amp; Data division and is looking for an experienced Machine Learning Engineer to design, develop, and deploy advanced ML solutions that power automation and digital transformation initiatives.This role combines hands-on engineering with technical leadership, focusing on creating scalable, production-ready ML systems that support real-world business processes.Key Responsibilities<ul><li>Design, develop, and integrate machine learning models into production environments.</li><li>Build and maintain data pipelines and model training workflows to ensure reliable and automated processes.</li><li>Develop and enhance the company’s MLOps infrastructure for model lifecycle management, automation, and monitoring.</li><li>Write production-grade Python code and build APIs or services that expose ML models to business applications.</li><li>Continuously monitor, evaluate, and retrain models to maintain accuracy and performance.</li><li>Collaborate with data engineers, annotation teams, software developers, and product managers to align solutions with business objectives.</li><li>Participate in code reviews, documentation, and the definition of engineering best practices.</li></ul>Requirements<ul><li>Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related discipline.</li><li>7+&nbsp; years of hands-on experience developing and deploying machine learning models.</li><li>Proven people management or team leadership experience on a team of 10.</li><li>Strong proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Solid understanding of MLOps tools and practices (e.g., MLflow, Kubeflow, Airflow).</li><li>Working knowledge of cloud platforms such as AWS, GCP, or Azure.</li><li>Excellent analytical thinking, problem-solving, and communication skills.</li><li>Understanding of RPA,PPA service</li></ul><ul><li>Experience with document understanding, OCR, or NLP models.</li><li>Familiarity with containerization (Docker, Kubernetes) and CI/CD for ML pipelines.</li><li>&nbsp;Fluent in English, both written and spoken.</li></ul>Nice to Have<ul><li>Exposure to data governance, model monitoring, or AI observability tools.</li></ul>Why Join Them<ul><li>You’ll be part of a growing AI team within a well-established organization that is transforming its services through technology.</li><li>You’ll work on end-to-end ML systems, from data ingestion to deployment, with real business impact across automation and document intelligence domains.</li><li>If you’re passionate about building scalable ML products and want to see your models running in production, this is the right environment for you.</li></ul>

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