MLOps ManagerHelp 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 RoleMLOps Platform & InfrastructureBuild 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 productivityAWS & Kubernetes OperationsDeploy and operate ML workloads using:Amazon EKS / KubernetesAWS VPCs, subnets, routing, and network isolationS3 (including Intelligent‑Tiering) for large‑scale sensor and training dataAWS Lambda for event‑driven ML and data workflowsAWS IoT resources managed via TerraformContribute to platform resilience through:Multi‑AZ deploymentsBackup, recovery, and fault‑tolerance mechanismsMLOps Pipelines & ToolingImplement 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)Machine Learning EnablementSupport large‑scale data ingestion and preprocessing pipelines for sensor‑heavy datasetsImplement data validation and data quality checksHelp enforce train / validation / test split governancePartner with ML engineers to:Improve training performanceReduce infrastructure costStreamline evaluation and deployment workflowsCollaboration with ML & Autonomous Driving TeamsWork closely with ML engineers and researchers developing:Perception models (vision, sensor fusion, detection, tracking)Behavioral and decision‑making systemsTranslate ML workloads and requirements into stable, production‑ready pipelinesAdapt ML tooling and infrastructure to the realities of safety‑critical automotive systemsMonitoring, Reliability & OperationsBuild and maintain monitoring and logging for:ML pipelinesTraining jobsDeployed models and infrastructureTrack system health, failures, performance regressions, and operational metricsParticipate in incident response, root cause analysis, and post‑mortemsContinuously improve platform reliability, scalability, and developer experienceYour BackgroundKey ingredients for succeeding in this role are your:13+ 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)Machine Learning FoundationsSolid understanding of end‑to‑end ML workflows:Data ingestion and preprocessingData validation and quality controlsTraining, evaluation, and deploymentExperience supporting ML teams running large‑scale experiments and production modelsAutomotive / Autonomous Systems ExposureWorking knowledge of:Perception systemsBehavioral or decision‑making ML componentsPrior experience in automotive, ADAS, or autonomous driving environmentsAwareness of constraints related to:Safety‑critical systemsReal‑time or near‑real‑time performanceWhy 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! #LI-NB1Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidatesAptiv 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.