AI/ML Ops Advanced Technical Leader
Chennai, India
- Pay
- 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
Support CI/CD pipelines for ML code, models, and infrastructure (GitHub‑based)
Implement and maintain highly available, multi‑zone training and deployment environments
From the employer’s posting
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
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:
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)
Tools in this posting
- Python
- AWS
- Kubernetes
- Terraform
- MLflow
- Airflow
Source — Tool mentions in context
- Airflow and MLflow - Proficient Python for automation, pipelines, and tooling - Experience building and operating CI/CD pipelines (GitHub)
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
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)
- Kubernetes / EKS - Infrastructure as Code (Terraform) - Airflow and MLflow
- 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
- Implement and maintain ML pipelines using: - Apache Airflow for orchestration - MLflow for experiment tracking, model versioning, and lifecycle management
Job description
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 children, one with: Zero fatalities, Zero injuries, Zero accidents.
You have support. 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.
Your Benefits at Aptiv:
Hybrid and flexible working hours;
Higher Education Opportunities (UDACITY, UDEMY, COURSERA are available for your continuous growth and development);
Life and accident insurance;
Sodexo cards for food and beverages
Well Being Program that includes regular workshops and networking events;
EAP Employee Assistance;
Access to fitness clubs (T&C apply);
Creche facility for working parents;
Apply today, and together let’s change tomorrow!
#LI-NB1
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
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Chennai, India
Your Benefits at Aptiv: - Hybrid and flexible working hours; - Higher Education Opportunities (UDACITY, UDEMY, COURSERA are available for your continuous growth and development);
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Aug 11, 2026
- Recorded sightings
- 1
- Last seen by us
- Oct 1, 2026
- Employer says posted
- Aug 6, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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