AI/ML Ops Advanced Technical Leader

Posted 19 Days Ago
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Chennai, Tamil Nadu, IND
In-Office
Senior level
Automotive
The Role
Build and operate MLOps platforms on AWS for autonomous-driving ML workloads. Maintain highly available multi-zone training and deployment environments, run distributed multi-GPU training (e.g., Ray), implement Airflow orchestration and MLflow model lifecycle, support GitHub-based CI/CD for code/models/infrastructure, and ensure reproducible, traceable, auditable ML workflows.
Summary Generated by Built In

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.

Skills Required

  • 5+ years experience with MLOps and ML workloads
  • Hands-on AWS experience for ML workloads
  • Multi-GPU / distributed training (Ray or equivalent)
  • Kubernetes / EKS experience
  • Infrastructure as Code (Terraform)
  • Apache Airflow (orchestration)
  • MLflow (experiment tracking and model lifecycle)
  • Proficient Python for automation and tooling
  • Experience building and operating CI/CD pipelines (GitHub)

APTIV Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about APTIV and has not been reviewed or approved by APTIV.

  • Retirement Support A 401(k) plan with company contribution and competitive matching is described as a notable component of the total rewards package. Equity participation and performance bonuses are also positioned as part of long-term and variable compensation.
  • Healthcare Strength Core coverage is portrayed as broad, spanning medical, dental, vision, life, and disability insurance. Mental health resources and an Employee Assistance Program are also included as part of wellness support.
  • Leave & Time Off Breadth Paid holidays, paid sick days, and flexible time-off policies are included in the benefits mix. Flexible scheduling and remote-work programs further support time management and personal needs.

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The Company
HQ: Schaffhausen
17,787 Employees

What We Do

Aptiv is a global technology company that develops safer, greener and more connected solutions enabling the future of mobility. #ItsOurMove

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