Engineering Manager - Machine Learning
EatonPune, Maharashtra, India
Posted April 1, 2026
Full Time
About the Company
Eaton is an intelligent power management company focused on improving quality of life and environmental sustainability. Specializing in power management solutions for various industries including aerospace, automotive, and manufacturing, Eaton leverages electrification and digitalization to accelerate the transition to renewable energy. The company is committed to ethical business practices, sustainability, and equal employment opportunities.
Job Description
The Engineering Manager - Machine Learning will lead and manage a team of Engineers to deploy and monitor machine learning models in production. The Manager will collaborate with cross-functional teams and architect end-to-end machine learning pipelines.
Requirements
- B.tech / M Tech in Computer Science, Electronics or related fields
- 8+ years of experience in software engineering, data engineering, or related roles, with at least 2 years in a managerial or leadership role
- Strong proficiency in Python, JAVA and related IDEs
- Experience with cloud platforms and services (e.g., Azure, AWS, GCP) for building and deploying machine learning applications
- Proficiency in containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes)
- Hands-on experience with MLOps tools and platforms such as Weight and Biase, MLflow, Kubeflow, TFX, or similar
- Experience in DevOps and DevSecOps tools and practices
- Strong problem-solving skills and ability to troubleshoot complex issues in production environments
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams
Benefits
- Competitive salary
- Benefits package
- Opportunities for professional growth and development
- Collaborative and innovative work environment
