You will:
- Design & build ML/LLM solutions: Develop, fine-tune, and deploy machine learning and large language model solutions - from predictive models and classifiers to GenAI applications, chatbots, and retrieval-augmented generation (RAG) systems;
- Build robust data foundations: Design and maintain the databases and data pipelines that feed your models, ensuring data is clean, structured, and production-ready;
- Engineer for production: Apply solid software engineering practices - version control, testing, CI/CD, monitoring - to take models from prototype to reliable, scalable production systems;
- Integrate AI into business workflows: Work closely with client teams to understand business needs and translate them into AI-powered solutions and process automation;
- Collaborate across teams: Partner with data analysts, BI developers, and consultants to combine AI capabilities with Power BI dashboards and broader data architecture;
- Stay ahead of the curve: Keep up with fast-moving developments in ML/LLM tooling and bring new techniques and best practices into our projects.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field;
- 1–3 years of hands-on experience in machine learning engineering, AI/LLM development, or a related discipline;
- Strong experience with Python and ML frameworks such as PyTorch, TensorFlow, scikit-learn, or similar;
- Practical experience working with LLMs, including prompt engineering, fine-tuning, RAG, or agentic workflows;
- Solid SQL skills and experience designing and working with relational or analytical databases;
- Familiarity with software engineering practices, including Git, testing, CI/CD, and containerization (Docker);
- Experience or comfort working with cloud platforms such as Azure, AWS, or similar, and/or Microsoft Fabric;
- Fluent English, with the ability to explain technical concepts clearly to non-technical audiences;
- A proactive mindset, curiosity, and strong attention to detail. Nice to Have
- Exposure to MLOps tooling and model monitoring in production;
- Experience with Power BI or other BI tools;
- Previous freelance or consulting experience, particularly working with cross-functional teams.
The role will be shaped around your strengths—whether you’re more research-oriented, engineering-focused, or looking to grow across both areas. If you love working with data and AI and want to build solutions that matter, we’d love to hear from you!
Benefits:
- Professional Growth – We support your career development, offering performance and salary reviews once a year to ensure your progress is recognized and rewarded;
- Flexible Working Hours – Manage your workday with flexibility and the option to work from home when needed, while enjoying our city-centre office as a convenient, collaborative workspace;
- Culture & Connection – From team bonding activities like Christmas parties and summer events to spontaneous celebrations, monthly breakfasts, or team lunches, we celebrate wins—big or small—together;
- Gifts Programme – Welcome boxes, birthday surprises, and holiday cheer ensure your special moments are always recognized.
Skills Required
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field
- 1-3 years of hands-on experience in machine learning engineering, AI/LLM development, or a related discipline
- Strong experience with Python and machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn
- Practical experience with LLMs, including prompt engineering, fine-tuning, RAG, or agentic workflows
- Solid SQL skills and experience with relational or analytical databases
- Familiarity with Git, software testing, CI/CD, and containerization with Docker
- Experience with cloud platforms such as Azure or AWS, and/or Microsoft Fabric
- Fluent English and ability to explain technical concepts to non-technical audiences
- Proactive mindset, curiosity, and strong attention to detail
- Exposure to MLOps tooling and production model monitoring
- Experience with Power BI or other business intelligence tools
- Previous freelance or consulting experience with cross-functional teams
What We Do
Civitta is a leading independent management consultancy in Emerging Europe. Today, our company, headquartered in Tartu, Estonia, employs over 700 consultants and experts across 27 offices in 19 countries: Estonia Latvia Lithuania Poland Finland Denmark Belarus Ukraine Moldova Serbia Romania Slovakia Bulgaria North Macedonia Kosovo Armenia Sweden Georgia Uzbekistan We aim to bring the right minds together to challenge the boundaries and make meaningful changes for our clients. We cover a wide range of services, including management consulting, grants and project management, market research and customer data analytics, entrepreneurship support and startups, public policy and development. We also work beyond home markets – our flexible approach and international mindset have ensured the successful cooperation with clients in 40+ countries, resulting in 10000+ completed projects. What’s our approach? We deliver more. With an effective management model, we ensure that the money paid for our work is invested in the project, not into overheads. We ask the tough questions. We challenge our clients to achieve the challenge themselves. We like unconventional projects. We have an entrepreneurial mindset allowing us to be flexible and work with niche or unusual projects. We get the job done. We collect facts, analyze them and deliver fact-based results. We are practical and we aim for impact. We have Estonian roots. An unique Central and Eastern Europe & Nordics footprint stretching over 16 countries throughout Europe. #TheChallengerAdvisory
