Senior Machine Learning Engineer
Core
End-to-end design, delivery, and operation of production machine learning models on an enterprise Lakehouse platform to drive strategic decision-making.
Role type
Senior Machine Learning Engineer (MLOps focus)
Builds
Production ML models and MLOps infrastructure on Databricks
Domain
Enterprise data strategy and machine learning
Deliverable
production ML models
Required skills
Machine learning, statistical methods, SQL, Python, PySpark, MLOps, model governance, automated validation testing, bias assessment, documentation, traceability
Preferred skills
Cross-functional collaboration, stakeholder requirement analysis, ethical and privacy management, performance monitoring, root cause analysis, team education, emerging ML trends
Technologies
Databricks, PySpark, Python, SQL
Responsibilities
Lead design, development, testing, deployment, and monitoring of ML solutions; Define and embed MLOps best practices; Develop automated validation tests; Assess stakeholder requirements and manage ethical/privacy considerations; Establish reliability criteria and KPIs; Create and update model documentation; Ensure dataset traceability and manage audit requests; Collaborate on aligned solutions; Identify root causes of production issues; Educate teams on ML techniques; Propose leveraging new ML capabilities
Seniority
Senior, hands-on IC