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HERE Technologies

Sr ML & AI Engineer

Posted An Hour Ago
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Hybrid
Mumbai, Maharashtra
Senior level
Hybrid
Mumbai, Maharashtra
Senior level
Build, operate, and improve end-to-end Agentic AI/ML pipelines and map compilation platform for HD live maps. Implement scalable CI/CD/CT for ML workflows, orchestrate reliable data and pipeline systems, deploy containerized models in cloud-native environments, monitor model performance and data drift, manage ML lifecycle/versioning, automate releases and infrastructure provisioning, and collaborate on architecture and incident resolution.
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What's the role?

The role spans software engineering, platform engineering, and production ML lifecycle management. As a ML-AI Platform Engineer you will build and operate our map compilation platform that delivers high-definition live maps for autonomous driving. Furhtemore you will:

  • Build, operate, and continuously improve end-to-end Agentic AI/ML pipelines
  • Implement scalable CI/CD/CT pipelines for ML workflows and services
  • Design reliable, fault-tolerant data and Agentic AI/ML pipeline orchestration systems
  • Deploy models into production using containerized and cloud-native environments
  • Implement monitoring for model performance, data quality, and drift detection
  • Manage Agentic AI lifecycle including versioning and rollback
  • Collaborate with teams on requirements, architecture, and incident resolution
  • Build and maintain automation for Agentic release, validation, and infrastructure provisioning
  • Drive Infrastructure as Code (IaC) practices and cloud platform reliability

Who are you?

You are a fast learner, with an eye for detail, strong problem-solving and debugging skills. In addition you have the following qualifications.


  • Bachelor’s degree  in Computer Science/ Engineering or related science/technology field.
  • Five to eight years of industry workign expereicne including 4+ years experience in infrastructure / platform engineering / MLOps
  • Strong programming skills in Python, Go, or Bash
  • Hands-on cloud experience (AWS preferred)
  • Hands-on engineer who works across ML systems + DevOps + platform engineering
  • Experience working with AI/ML, Agentic systems in production environments
  • Comfortable working in Agile teams with strong collaboration habits
  • Proactive in adopting AI-assisted development tools for productivity
  • Experience with containerization and Kubernetes
  • Strong Linux fundamentals and distributed systems

What we offer


HERE offers an opportunity to work in a cutting-edge technology environment with challenging problems to solve! You can make a direct impact on delivery of company´s strategic goals and the freedom to decide how to perform your work. We will support you in delivering your day-to-day tasks and achieving your personal goals and developing your skills. Personal development is highly encouraged at HERE. You can take different courses and training at our online Learning Campus and join cross-functional team projects within our Talent Platform.


HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.


Who are we?

HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.


At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.


  

In this role you will join our fast growing, highly motivated NDS (Navigation Data Standard) team. As a member of our team, you will have the opportunity to dive deep into how we capture the real world, how this is reflected in our reality index, and work with the team on how this data goes straight into cars with our NDS deliveries. We work with Agile practices and co-operate with numerous different teams inside and outside of the company. Our team delivers digital maps in NDS formats to our automotive customers where the data is going straight into cars to power autonomous driving uses cases.


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