AI/ML Ops Advanced Technical Leader
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At a glance
Job overview
Aptivio is hiring an AI/ML Ops Advanced Technical Leader. The role involves building and operating MLOps platforms on AWS for autonomous driving workloads, implementing multi‑zone training environments, managing distributed GPU training, maintaining infrastructure standards, troubleshooting platform issues, and ensuring reproducible, traceable, and auditable ML workflows.
Key focus areas include Build and operate MLOps platforms on AWS supporting autonomous driving ML workloads, Implement and maintain highly available multi‑zone training and deployment environments, and Operate distributed multi‑GPU training setups such as Ray clusters.
Important skills include Airflow, MLFLow, Automation, AWS, Ray, and Kubernetes. Preferred (not required): Vehicles, Networking Technologies, Storage, and Infrastructure.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
MLOps Engineer 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 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 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! #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. Aptiv is a global technology company that develops safer, greener and more connected solutions enabling the future of mobility. Headquartered in Dublin, Aptiv has approximately 180,000+ employees and operates 12 technical centers, as well as manufacturing sites and customer support centers in 44 countries. Visit aptiv.com. Please review Aptiv's privacy policy by following this link: https://www.aptiv.com/privacy-notice
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