Technical Lead-MLOps:
Aptiv (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build and operate MLOps platforms on AWS supporting autonomous driving machine learning workloads, ensuring high availability and multi-zone support.
- Implement and maintain multi-GPU distributed training environments, ML pipelines using Apache Airflow and MLflow, and CI/CD pipelines for ML code, models, and infrastructure.
- Ensure ML workflows are reproducible, traceable, auditable, and aligned with automotive engineering standards.
Minimum Requirements
- 5+ years of relevant experience in MLOps or related fields.
- Strong hands-on experience with AWS for machine learning workloads.
- Practical experience with multi-GPU distributed training (Ray or equivalent), Kubernetes/EKS, Infrastructure as Code (Terraform), Airflow, MLflow, and CI/CD pipelines (GitHub based).
- Proficient in Python programming for automation, pipelines, and tooling.
Ideal Candidate Profile
- Experienced technical lead comfortable managing complex distributed ML training and deployment environments for autonomous driving.
- Skilled in building scalable, reliable MLOps systems with a focus on operational excellence and engineering standards alignment in automotive domain.
- Proficient in cloud-native infrastructure and DevOps tools to ensure robust ML lifecycle management and workflow traceability.