Machine Learning & Data Engineer
Core
Evolve, productivize, and operate existing ML and data engineering prototypes into production solutions, ensuring quality and scalability under internal technical leadership.
Role type
Machine Learning & Data Engineer
Builds
Production-ready ML solutions and data pipelines
Domain
Insurance/Financial services technology
Deliverable
production ML models
Required skills
Python, SQL, scikit-learn, pandas, numpy, PyTorch or TensorFlow, Git, MLflow, Great Expectations
Preferred skills
AWS Bedrock, RAG, NLP/OCR, REST APIs, Docker, cloud architecture, entity resolution, statistical validation, model drift detection
Technologies
AWS, MLflow, Git, Docker, PyTorch, TensorFlow, scikit-learn, pandas, numpy, Great Expectations
Responsibilities
Evolve and productivize ML prototypes, operate data engineering solutions, implement quality controls, manage MLOps workflows including versioning and experiment tracking, deploy and monitor models in production
Seniority
Mid-level, hands-on IC