MLOps Engineer
Aptiv · Bengaluru East
- Experience5+ yrs
- SalaryNot disclosed
- Work modehybrid
- Levelsenior
- Posted19 Sept 2026
About Aptiv
Aptiv is hiring in Bengaluru East in automotive mobility. This role looks for around 5+ years of experience.
The role
Aptiv is a mobility technology and data connectivity company hiring a senior MLOps engineer with 5+ years of experience to build and operate MLOps platforms on AWS for autonomous driving ML workloads. The role involves distributed multi-GPU training (Ray clusters), highly available multi-zone training and deployment environments, and ML pipelines using Apache Airflow and MLflow, plus CI/CD for ML code, models, and infrastructure with GitHub. You should have hands-on AWS for ML workloads, multi-GPU/distributed training, Kubernetes (EKS), Infrastructure as Code with Terraform, and Python automation. This is a hybrid role in Bengaluru East, Karnataka, India.
Full job description
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 workloadsImplement and maintain highly available, multi‑zone training and deployment environmentsOperate distributed, multi‑GPU training setups (e.g., Ray clusters)Assist in maintaining infrastructure standards for compute, storage, networking, and securityTroubleshoot and resolve platform‑level issues impacting ML productivityImplement and maintain ML pipelines using:Apache Airflow for orchestrationMLflow for experiment tracking, model versioning, and lifecycle managementSupport CI/CD pipelines for ML code, models, and infrastructure (GitHub‑based)Ensure ML workflows are:ReproducibleTraceableAuditable (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 workloadsPractical experience with:Multi‑GPU / distributed training (Ray or equivalent)Kubernetes / EKSInfrastructure as Code (Terraform)Airflow and MLflowProficient Python for automation, pipelines, and toolingExperience 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 beveragesWell 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!
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.