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Engineering Group Manager- MLOps

Aptiv
Chennai, IND
Full-time
Manager · 13+ years experience
Discovered 2 months ago
airflowawsaws-lambdaeksgitkubernetes

Full Job Posting

Mlops Manager

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.

Mlops Platform & Infrastructure

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

Aws & Kubernetes Operations

Deploy and operate ML workloads using:

Amazon Eks And Kubernetes

AWS VPCs, subnets, routing, and network isolation

S3 (including Intelligent‐Tiering) for large‐scale sensor and training data

AWS Lambda for event‐driven ML and data workflows

AWS IoT resources managed via Terraform

Contribute to platform resilience through:

Multi‐AZ deployments

Backup, recovery, and fault‐tolerance mechanisms

Mlops Pipelines & Tooling

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:

Traceable

Auditable (aligned with automotive engineering expectations)

Machine Learning Enablement

Support large‐scale data ingestion and preprocessing pipelines for sensor‐heavy datasets

Implement data validation and data quality checks

Help enforce train / validation / test split governance

Partner with ML engineers to:

Improve training performance

Reduce infrastructure cost

Streamline evaluation and deployment workflows

Collaboration With Ml & Autonomous Driving Teams

Work closely with ML engineers and researchers developing:

Perception models (vision, sensor fusion, detection, tracking)

Behavioral and decision‐making systems

Translate ML workloads and requirements into stable, production‐ready pipelines

Adapt ML tooling and infrastructure to the realities of safety‐critical automotive systems

Monitoring, Reliability & Operations

Build and maintain monitoring and logging for:

ML pipelines

Training jobs

Deployed models and infrastructure

Track system health, failures, performance regressions, and operational metrics

Participate in incident response, root cause analysis, and post‐mortems

Continuously improve platform reliability, scalability, and developer experience

Your Background

Key ingredients for succeeding in this role are your:

13+ years experience,Strong hands‐on experience with AWS for ML workloads

Practical experience with:

Multi‐GPU / distributed training (Ray or equivalent)

Infrastructure As Code (Terraform)

Airflow and MLflow

Proficient Python for automation, pipelines, and tooling

Experience building and operating CI/CD pipelines (GitHub)

Machine Learning Foundations

Solid understanding of end‐to‐end ML workflows:

Data ingestion and preprocessing

Data validation and quality controls

Training, evaluation, and deployment

Experience supporting ML teams running large‐scale experiments and production models

Automotive And Autonomous Systems Exposure

Working knowledge of:

Perception systems

Behavioral or decision‐making ML components

Prior experience in automotive, ADAS, or autonomous driving environments

Awareness of constraints related to:

Safety‐critical systems

Real‐time or near‐real‐time performance

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!

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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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