MLOps Engineer

ucture 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!

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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.