Senior Engineer - AI/ML -Ops (6-8 Yrs)
Chennai, India
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- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingBuild and operate MLOps platforms on AWS supporting autonomous driving ML workloads
Implement and maintain highly available, multi‑zone training and deployment environments
Implement and maintain ML pipelines using: - Apache Airflow for orchestration
From the employer’s posting
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
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)
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
Tools in this posting
- Python
- AWS
- Kubernetes
- Terraform
- MLflow
- Airflow
Source — Tool mentions in context
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
- Airflow and MLflow - Proficient Python for automation, pipelines, and tooling Why join us?
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
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)
- Practical experience with: - Multi‑GPU / distributed training (Ray or equivalent) - Kubernetes / EKS - Infrastructure as Code (Terraform)
- Kubernetes / EKS - Infrastructure as Code (Terraform) - Airflow and MLflow
- 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)
- Infrastructure as Code (Terraform) - Airflow and MLflow - Proficient Python for automation, pipelines, and tooling
- 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
Job description
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
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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.
Your next step
- Have your CV and examples of relevant work ready.
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- Ask the employer about the salary range before committing time to the process.
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Source & posting history
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- Pay
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- Location & working pattern
Chennai, India
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- Status in our records
- Active
- First seen by us
- Aug 24, 2026
- Recorded sightings
- 6
- Last seen by us
- Oct 1, 2026
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