Senior Data Scientist: ML Lifecycle & MLOps Lead
Summary
Own the full ML lifecycle: build ETL pipelines, develop predictive models, and deploy them to production using Docker/Kubernetes, MLflow, and cloud platforms like AWS/GCP/Azure.
Venturenix is seeking a Data Scientist to own the full ML lifecycle—from data extraction and model development to deployment in production. You will drive ETL pipelines, build predictive models, and monitor performance in real time.
Ideal candidates have a strong quantitative background in mathematics or statistics, hands-on ETL/SQL, and experience with Docker/Kubernetes and MLflow, plus cloud deployment on AWS, GCP, or Azure.