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APTIV

MLOPS Infra Technical Lead

Posted 19 Days Ago
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Bangalore, Bengaluru, Karnataka
Senior level
Bangalore, Bengaluru, Karnataka
Senior level
The MLOps Infra Technical Lead will design and implement scalable MLOps infrastructure to support the ML lifecycle, establish best practices, mentor junior engineers, and drive architectural decisions while collaborating with MLOps pipeline developers.
The summary above was generated by AI

MLOPs Infrastructure Lead

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

  • Design and implement scalable, cloud-native MLOps infrastructure to support the entire ML lifecycle, from experimentation to production deployment
  • Help develop IAC scripts for required Infra provisioning
  • Establish best practices for ML infrastructure monitoring, logging, and observability
  • Collaborate with MLOPS pipeline developers  to understand their workflows and optimize infrastructure accordingly
  • Drive technical decisions around tooling selection and infrastructure architecture
  • Mentor junior engineers and provide technical leadership to the MLOps team
     

Your Background

Key ingredients for succeeding in this role are your:

  • 7+ years of software engineering experience, with at least 3 years focused on ML/AI infrastructure Strong experience with cloud platforms (AWS/GCP/Azure) and container orchestration (Kubernetes) Expertise in infrastructure-as-code using tools like Terraform, CloudFormation
  • Proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow, etc.)
  • Deep understanding of ML workflows, including training, experimentation, and deployment
  • Experience with MLOps tools (MLflow, Kubeflow, Seldon, etc.) and CI/CD platforms (Jenkins, GitLab CI, etc.)
  • Strong background in distributed systems and scalable architecture design
  • Experience with monitoring and observability tools

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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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.

Top Skills

AWS
Azure
CloudFormation
GCP
Gitlab Ci
Jenkins
Kubeflow
Kubernetes
Mlflow
Mlops
Python
PyTorch
Seldon
TensorFlow
Terraform

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