Manager Data Engineering-ML Ops
Core
Design, build, and maintain infrastructure for deploying, monitoring, and optimizing machine learning models and data pipelines.
Role type
Manager Data Engineering-ML Ops
Builds
Scalable and reliable data pipelines and ML model deployment systems
Domain
Insurance / Data Engineering & ML Ops
Deliverable
production ML models
Required skills
Python, Java, Scala, Databricks, MLflow, Kubeflow, AWS, Google Cloud, Azure, Docker, Kubernetes, data architecture, data modeling, database systems, team leadership
Preferred skills
strategic planning, resource allocation, continuous improvement, security compliance
Technologies
Databricks, MLflow, Kubeflow, AWS, Google Cloud, Azure, Docker, Kubernetes
Responsibilities
Design and maintain data ingestion, transformation, and storage workflows; Optimize data processing efficiency; Lead and coach a team of data engineers; Define strategy and roadmap for data engineering and ML Ops; Ensure security and compliance of data processes
Seniority
Manager, hands-on leadership
