2 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Build and operate AWS MLOps platforms supporting autonomous-driving ML workloads.
- Implement and maintain highly available, multi-zone training and deployment environments.
- Operate distributed multi-GPU training setups such as Ray clusters.
- Maintain infrastructure standards for compute, storage, networking, and security.
- Troubleshoot platform-level issues affecting ML productivity.
- Implement and maintain Apache Airflow and MLflow pipelines for orchestration, experiment tracking, model versioning, and lifecycle management.
- Support GitHub-based CI/CD pipelines for ML code, models, and infrastructure.
- Ensure ML workflows are reproducible, traceable, and auditable.
Requirements
- At least 5 years of experience.
- Strong hands-on AWS experience for ML workloads.
- Practical experience with multi-GPU or distributed training using Ray or an equivalent technology.
- Experience with Kubernetes/EKS, Terraform, Apache Airflow, and MLflow.
- Proficiency in Python for automation, pipelines, and tooling.
- Experience building and operating CI/CD pipelines using GitHub.
Benefits
- Higher education and continuous-learning opportunities through Udacity, Udemy, and Coursera.
- Life and accident insurance.
- Sodexo cards for food and beverages.
- Well Being Program with regular workshops and networking events.
- Employee Assistance Program.
- Access to fitness clubs, subject to terms and conditions.
- Creche facility for working parents.
- Competitive benefits package supporting family, physical health, and mental health.
Tech Stack
Categories
About Aptiv
Aptiv is a public automotive technology supplier that designs and manufactures vehicle electrical architectures, ADAS/autonomous software, connectivity solutions, and engineered components. It sells integrated hardware-software platforms, wiring and power distribution systems, sensors, and infotainment to global automakers and mobility companies. Headquartered in Dublin, Ireland, Aptiv is listed on the NYSE and operates worldwide across development centers and manufacturing sites.