Data/AI Engineer - Digital & Data

Salary Range: 3000 to 4000 (Currency: EUR) (Pay period: per-month-salary)

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:

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.