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MLOps Engineer

Bangalore, India

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What you’ll work on

Full posting
  • Build 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

View original posting ↗

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.

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Source & posting history

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Pay

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Location & working pattern

Bangalore, India

Your Benefits at Aptiv: - Hybrid and flexible working hours; - Higher Education Opportunities (UDACITY, UDEMY, COURSERA are available for your continuous growth and development);
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Status in our records
Active
First seen by us
Aug 11, 2026
Recorded sightings
123
Last seen by us
Oct 1, 2026
Employer says posted
Jul 28, 2026

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