MLOps Engineer

Aptive — Bangalore, India

MLOps Engineer Help shape the future of mobility. Imagine a world with zero vehicle accidents, zero vehicle emissions, and wireless vehicle connectivity all around us. Every day, we move closer to making that world a reality. Aptiv’s passionate team of engineers and developers creates advanced safety systems, high-performance electrification solutions and data connectivity solutions so that automakers can bring advanced capabilities to more people around the globe. This is how we enable sustainable mobility and help to prevent accidents caused by human error. Your Role Build and operate MLOps platforms on AWS supporting autonomous driving ML workloads Implement and maintain highly available, multi‑zone training and deployment environments Operate distributed, multi‑GPU training setups (e.g., Ray clusters) Assist in maintaining infrastructure standards for compute, storage, networking, and security Troubleshoot and resolve platform‑level issues impacting ML productivity Implement and maintain ML pipelines using: Apache Airflow for orchestration MLflow for experiment tracking, model versioning, and lifecycle management Support CI/CD pipelines for ML code, models, and infrastructure (GitHub‑based) Ensure ML workflows are: Reproducible Traceable Auditable (aligned with automotive engineering expectations) Your Background Key ingredients for succeeding in this role are your: 5+ years experience, Strong hands‑on experience with AWS for ML workloads Practical experience with: Multi‑GPU / distributed training (Ray or equivalent) Kubernetes / EKS Infrastructure as Code (Terraform) Airflow and MLflow Proficient Python for automation, pipelines, and tooling Experience building and operating CI/CD pipelines (GitHub) Why join us? You can grow at Aptiv.Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs. You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our chi

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