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.
Your Role
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 / 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:
Reproducible
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)
Kubernetes / EKS
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 / 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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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.
