Tech Lead Data Science / MLOps H/F
Core
Design, develop, and industrialize end-to-end Data & AI solutions for enterprise clients, transforming business needs into reliable, scalable products.
Role type
Tech Lead Data Science / MLOps
Builds
Automated data pipelines, production ML/LLM models, and robust AI products
Domain
Enterprise Data & AI / Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, MLflow, Scikit-learn, PyTorch, TensorFlow, Kubeflow, CI/CD, container orchestration, data governance
Preferred skills
LLM engineering, Evidently, DBT, Airflow
Technologies
Kubernetes, Cloud platforms, MLflow, Kubeflow, Evidently, Airflow, DBT
Responsibilities
Design and deploy automated data and ML pipelines; Train and optimize ML/LLM models; Industrialize POCs into production-ready products with monitoring and versioning; Manage cloud infrastructure, containers, and security; Ensure data quality and governance; Collaborate with technical and business teams to prioritize roadmap items.
