Technical Lead - MLOps

Aptiv

Bengaluru

On-site

INR 3,500,000 - 7,000,000

Full time

3 days ago
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Benefits offered by this job

Creche facility for working parents
Well Being Program
Life and accident insurance
Sodexo cards for food and beverages

Job summary

Aptiv seeks a Technical Lead‑MLOps in Bengaluru to design and operate scalable ML platforms on AWS for autonomous driving workloads. You will implement multi‑zone training environments and manage distributed GPU setups using Ray, while enforcing infra standards and secure, auditable ML pipelines.

You will lead CI/CD for ML code and models, leverage Airflow and MLflow for orchestration and tracking, and collaborate across teams to deliver reproducible, production‑grade ML workflows in a

Qualifications

  • Strong hands‑on experience with AWS for ML workloads.
  • Practical experience with multi‑GPU / distributed training (Ray or equivalent).
  • Proficiency with Kubernetes / EKS and Terraform for infra as code.
  • Experience with Airflow and MLflow for orchestration and experiment tracking.
  • Proficient Python for automation, pipelines, and tooling.
  • Experience building and operating CI/CD pipelines (GitHub).

Responsibilities

  • 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).

Skills

AWS ML
Multi-GPU training
Kubernetes
EKS
Terraform
Airflow
MLflow
Python
GitHub CI/CD

Tools

Airflow
MLflow
Terraform
Kubernetes
GitHub
Python

Job description

Technical Lead-MLOps

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 Roles and Responsibilities
  • 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
  • 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 grow at Aptiv. Aptiv's winning culture is global by design. We bring together diverse perspectives, cultures, and business contexts to solve our customers' toughest challenges. In this environment, every individual can grow, lead, and make an impact, regardless of background, because inclusion fuels how we innovate and win. You make an impact at Aptiv. One of the strengths of humanity is our drive to progress, to improve, to achieve more tomorrow than we did yesterday. People need solutions they can trust when it matters most. At Aptiv, you are building those solutions every day. You have support at Aptiv. We ensure you have the resources and support you need to take care of your family, your physical health, and your mental health with a competitive benefits package.

Your Benefits at Aptiv
  • 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
Meet the Next-Generation Aptiv

At Aptiv, we deliver innovative solutions that people trust when it matters most. Progress is never static. It is about reaching further, exploring new possibilities, and enabling mobility. Aptiv empowers customers to create solutions people rely on—advancing safety and autonomy in Automotive and Commercial Vehicles, enabling mission‑critical performance in Aerospace & Defense, and powering intelligent systems across Energy, Enterprise, and Telecommunications. We also drive precision and efficiency in Industrials & Robotics and support life‑critical innovation in Medical technologies.

Guided by our winning culture and values to Think & Act Like Owners, as One Team, and Play to Win, we turn commitment into results and achieve more together.

Join Us to Deliver Innovative Solutions That People Trust!

#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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