Source description
About the role
ML engineer (mid)
Core Skills / Stack
Python (excellent knowledge required)
Main Libraries: Pandas, Numpy, Matplotlib, Scikit Learn, Pydantic
SQL
Snowflake + Snowpark
Experience in Machine Learning applications and pipelines
GitHub engineering practices (PRs, branching, Actions)
Testing + CI/CD mindset (unit/integration tests, automated checks)
Config-driven scalable architecture (reusable components, toolkit/SDK software development)
Strong documentation + cross-team collaboration skills
Optional (preferable to have):
Dataiku DSS platform (flows, automation, industrialization)
MLflow / MLOps experience
Experience in Optimization methodologies and implementation (eg. cvxpy, Gurobi)
Docker
PyTorch
LightGBM
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