APTIV Logo

APTIV

MLOps Engineer

Reposted 16 Days Ago
Be an Early Applicant
In-Office
Chennai, Tamil Nadu, IND
Senior level
In-Office
Chennai, Tamil Nadu, IND
Senior level
Build, operate, and maintain MLOps platforms on AWS for autonomous driving workloads. Implement multi-zone, highly available training and deployment environments, operate distributed multi-GPU training (Ray), and maintain ML pipelines (Airflow, MLflow). Support CI/CD for ML code and infrastructure, ensure reproducible, traceable, auditable ML workflows, and troubleshoot platform-level issues.
The summary above was generated by AI

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 Chennai, Tamil Nadu, IND Office

Keppel One Paramount , Chennai, India

Similar Jobs

11 Days Ago
In-Office
Chennai, Tamil Nadu, IND
Senior level
Senior level
Artificial Intelligence • Consulting
Senior Databricks MLOps Engineer responsible for automating the end-to-end ML lifecycle: CI/CD, packaging, deployment, scheduling, monitoring, and reproducible experiments. Build frameworks and pipelines, integrate embedding/LLM components (RAG, vector DBs, LangChain), optimize ML workloads, and collaborate with data scientists and platform teams to productionize models for Claims Payment Integrity.
Top Skills: AzureAzure DevopsAzure OpenaiDatabricksEmbedding ModelsGitGithub ActionsJenkinsLangchainMlflowOpenai ApiPythonRagScalaSparkTerraformVector Databases
4 Days Ago
In-Office
Chennai, Tamil Nadu, IND
Mid level
Mid level
Artificial Intelligence • Information Technology • Software • Consulting
Design, deploy, monitor, and maintain production machine learning systems and end-to-end ML pipelines. Build scalable MLOps frameworks, automate deployments and retraining, manage cloud-native infrastructure and CI/CD, implement IaC, containerization, monitoring, and governance, and collaborate with cross-functional teams to ensure reliable, compliant enterprise AI platforms.
Top Skills: Amazon Web Services (Aws)Apache AirflowSparkArm TemplatesAutogenAws SagemakerAzure DevopsAzure Machine LearningAzure MonitorAzure OpenaiBashBicepChromadbCi/CdClaudeCrewaiData LakesData WarehousesDatabricksDockerEtl/EltFaissGeminiGitGitGitlabGoogle Cloud Platform (Gcp)Google Vertex AiGrafanaKubernetesLangchainAzureMlflowMySQLOpenaiPineconePostgresPowershellPrefectPrometheusPythonSemantic KernelShell ScriptingSQLSQL ServerTerraformWeaviate
24 Days Ago
Remote or Hybrid
India
Senior level
Senior level
Artificial Intelligence • Big Data • Fintech • Security • Software
As an SDE III in MLOps, you'll enhance ML asset management, design infrastructure for ML model deployment, and optimize CI/CD pipelines for efficient performance.
Top Skills: AWSDockerMlflowPythonPyTorchSnsSqsWeights & Biases

What you need to know about the Chennai Tech Scene

To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account