MLOps Engineer

Canada Wind River

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Bangalore, India Until 10/5/2026 5+ years exp H-1B sponsor history First posted July 11, 2026 Last posted August 6, 2026
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.

About this role

Summary

Build and operate MLOps platforms supporting autonomous driving ML workloads

Job title

MLOps Engineer

Experience level

5+ years

Minimum experience

5+ years exp

Industry

automotive and mobility

Location requirements

Bangalore, India, remote work not specified

Salary

Not specified

Visa sponsorship

H-1B sponsor history

Management role

No

Skills & keywords

Required skills

AWSmulti-GPU trainingKubernetes/EKSTerraformAirflowMLflowPythonGitHub

Preferred skills

None specified

Specializations

MLOpsAWSdistributed trainingKubernetesPython
Locations

Structured locations inferred from the posting.

Bengaluru, Karnataka, India

Work arrangement unknown City