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Senior Engineer - AI/ML -Ops (6-8 Yrs)

Aptiv · Software Engineering

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Location
Chennai, Tamil Nādu, India
Employment type
Full-time
Experience
6-8 years
Posted
2026-07-31

Technology stack

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Description

Aptiv -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. We’re hiring an Electrical/Electronics Engineer to design and develop our automotive products in the areas of Active Safety and User-Experience. This position is located at TCI Bengaluru. Your Role Experience: 6-8 Yrs Job Location: Chennai Mandatory Skills: AWS DevOps with ML Ops Frameworks like ML Flow/ Air Flow & Python Scripting 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 Why join us? You can grow at Aptiv. Whether you are working towards a promotion, stepping into leadership, considering a lateral career move, or simply expanding your network – you can do it here. 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 children, one with: Zero fatalities, Zero injuries, Zero accidents. You have support . Our team is our most valuable asset. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package. Apply today and together let’s change tomorrow!  “Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law” https://www.aptiv.com/privacy-notice-active-candidates #LI-FA1 Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.

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