MLOps Engineer

Kogo poszukujemy? Requirements Bachelor's or Master's in Mathematics, CS, ML or related field. Proficient with pandas, PySpark, scikit-learn and SHAP. Experience with MLOps tools: MLflow, Kedro/Airflow, Hyperopt/Optuna, Great Expectations. Familiarity building GenAI agentic workflows (LangChain or smolagents). Experience with CI/CD (GitHub Actions or similar) and serving models via Flask/FastAPI. Cloud and containerization experience (AWS/Azure/GCP, Docker, Kubernetes). High attention to detail and rigor; English at least B2. Nice to have French A2/B1. Czym będziesz się zajmować? Job Summary We are looking for an MLOps Engineer to support actuarial model development and run a high-availability AI platform. The role focuses on building reproducible CI/CD for models, operating model training pipelines, and ensuring secure, scalable document ingestion and processing. Key Responsibilities Create CI templates for model versioning, testing and reproducibility. Audit and optimise model training pipelines with ML engineers and actuaries. Develop monitoring for performance, reliability and efficiency. Manage platform operations to ensure availability, performance and secure data handling. Integrate and optimise cloud resources for cost, performance and compliance.