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

Data Governance Officer – Team Lead

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

Our Gaming project&nbsp;is for leading GameTech company in Greece and one of the fastest-growing in Europe &amp; US. Being International with a local approach, the company is currently operating in 6 countries. With people at the core of everything they do, their team of 800+ talented and enthusiastic people fuels their international expansion with their passion, maintaining an “eyes-on-the-customer” approach and a unique One Team spirit. Continuous improvement is what they strive for, from professional development to team-bonding activities, while being efficient and making things happen is what their team’s minds are set on.The Role: Senior iOS EngineerResponsibilities:<ul><li>Design and build applications for the iOS platform</li><li>Ensure the performance, quality, and responsiveness of applications</li><li>Collaborate with the team to define, design, and ship new features</li><li>Identify and correct bottlenecks and fix bugs</li><li>Help maintain code quality, organization, and automation</li></ul>Requirements:<ul><li>Experience with Swift or Objective-C and Cocoa Touch</li><li>Experience with iOS frameworks such as Grand Central Dispatch, Core Animation, etc.</li><li>Minimum 3 years of experience as an iOS developer</li><li>Ability to translate UI designs to iOS layouts with pixel precision</li><li>Familiarity with RESTful APIs to connect iOS applications to back-end services</li><li>Understanding of Apple’s design principles and interface guidelines</li><li>Familiarity with cloud message APIs and push notifications</li></ul>Nice to Have:<ul><li>Knowledge of low-level C-based libraries</li><li>Experience with App Extensions watchOS and tvOS </li></ul>Let’s talk about us:<ul><li>Remote working model</li><li>A competitive salary</li><li>Signing Bonus</li><li>Brand new equipment</li><li>Exciting &amp; friendly work environment</li><li>Career &amp; competencies’ development</li><li>Continuous learning &amp; development experience based on infinity model through Code.Hub’s Code.Learn</li><li>L&amp;D plan for your career improvement</li><li>A truly open, inclusive, and competitive-free environment to grow your skills and have fun!</li><li>Internal competitions &amp; rewards</li></ul>Let’s talk about Code.Hub-ers:<ul><li>You are eligible to free LinkedIn trainings</li><li>You are eligible to have free pass to all training Code.Learn activities after 6 months from your induction</li><li>Training &amp; Tech Mentor for your induction</li><li>Unlimited access to LinkedIn Learning platform (1st semester)</li><li>Sponsoring of a Bachelor and/or Master’s Degree from Athens Tech College</li><li>Private Health Insurance</li><li>Performance planning each six months and each two years planning of promotion</li><li>Free Lunch/Snack every day &amp; Cocktail Fridays @ our offices</li><li>Referral Bonus</li></ul>

Senior IOS Engineer

This is a great opportunity for you to work in a technology driven environment in close collaboration with skilled and passionate professionals, who utilize the best practices and cutting-edge technologies. You will be working on challenging projects that involve multithreading and high performance, security and scalable microservices. You will get every chance to share your opinions and grow professionally. Our technical stack includes, but is not limited to; AWS Cloud Services, Terraform, REST API and gRPC.<h2>The main responsibilities of the position include:</h2><ul><li></li></ul><ul><li>Write clean, simple, maintainable and testable code</li><li>Design, implement and maintain cloud-based services and APIs</li><li>Monitor, troubleshoot and debug applications</li><li>Participate and run code reviews</li><li>Follow emerging technologies and frameworks</li></ul><h2>Main requirements:</h2><ul><li></li></ul><ul><li>BSc/MSc in Computer Science, Engineering, or any other relevant degree</li><li>In-depth experience with Go. Experience in other programming languages is considered a plus</li><li>In-depth experience with REST service designs</li><li>Experience with monitoring, logging and tracing systems</li><li>Experience with GenAi will be considered as a plus</li><li>Proven experience using SQL and NoSQL databases</li><li>Very good knowledge of programming best practices and design patterns</li><li>Experience using systems and tools for automating deployment, scaling, and management of containerized applications for production service deployments</li><li>Good understanding of algorithmic complexity, data structures and multi-threading concepts</li><li>Knowledge of AWS Cloud Services is considered a plus</li><li>A keen interest in benchmarking and optimization</li><li>Contributions in open source projects are considered a plus</li><li>Strong teamwork skills with a problem-solving attitude and interest in personal development</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><li></li></ul>

Go Developers

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;

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