Engineering Manager - MLOps & Analytics
Core
Lead a distributed team of engineers to develop and maintain MLOps/Analytics solutions, ensuring high-performing teams and technical excellence.
Role type
Engineering Manager (MLOps & Analytics)
Builds
MLOps/Analytics portfolio and open-source machine learning tools
Domain
Open source, Machine Learning, Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Software delivery leadership, Python development, MLOps solution design, Team management, Code review, Architectural leadership, Open source contribution
Preferred skills
Machine learning library/tool experience, Automated ML solutions, ML model building, Container technologies (Docker, Kubernetes), Public cloud experience (AWS, Azure, GCP), Linux/open-source ecosystem, Software quality/testing, Distributed team collaboration
Technologies
Kubeflow, MLFlow, Feast, Docker, LXD, Kubernetes, AWS, Azure, Google Cloud
Responsibilities
Manage distributed engineering team, Organize team processes, Conduct one-on-one meetings, Identify team health indicators, Review code, Mentor direct reports, Represent company at conferences
Seniority
Manager, hands-on technical leadership
