Data Engineer / Machine Learning Engineer (m/w/d)

Own end-to-end ML workflows: data ingestion, feature engineering, training, evaluation & production deployment
2) two-sided market design (ranking / recommendations); (from prototype to robust production services.
Establish and enforce LLMops best practices: design reproducible prompt-engineering workflows, manage model/version tracking, automate evaluation (e.g. evals frameworks), monitor latency/cost, and refine prompts based on performance metrics.
Set up performance tracking, alerting and automated evaluation to ensure model health in production.
Collaborate across product, engineering and data science to translate business needs into technical solutions.
Spar with peers in the AI team and contribute to code reviews, best practices and tooling for reproducible, production-grade ML.
Strong Python skills and production-grade code practices (testing, CI/CD)
~ Clear communicator who bridges data science, product and engineering
Master's/PhD in ML, CS, Statistics or related
Work in an open-minded, collaborative, dynamic, and international team
It's the results that count.
Company off-sites and regular team events (offline and online)
Competitive compensation, a permanent contract, and modern work equipment
We are Cosuno – a fast-growing tech startup that is making the construction industry more efficient and transparent with our digital platform for tenders and procurement processes. Artificial intelligence is the key to our solution: it analyzes millions of price data points and helps construction companies create precise and efficient bids. But for us, it's not just about technology – it's about the people who drive it. An integrative and inclusive work environment is a matter of course for us.