Sr ML & AI Engineer

External

Here Technologies · Mumbai, India

Full-timeOn-siteToday

AgileAWSBashCI/CDKubernetesLinux

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Benefits

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.

Additional Information

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 productivi Experience with containerization and Kubernetes Strong Linux fundamentals and distributed systems

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