Lead ML & AI Engineer

Requisition Title Lead ML & AI Engineer Requisition ID 2026-83465 Job Locations IN-Mumbai Category Product & Engineering Location : Location IN-Mumbai Requisition Post Information* : Posted Date 9/3/2026 Requisition Post Information* : External Company Name HERE Technologies Requisition Post Information* : External Company URL https://company.

here.com/here/ Location : Postal Code 400063 Location : Address 10th FL, Nesco IT Park, Nesco Complex Position Type Regular/Full-Time As a Lead AI/ML Engineer, you will lead the design and development of production-grade AI/ML models, intelligent agents, pipelines, and services that power NDS HD Live Maps, ADAS and IVI maps, including automated data ingestion and validation.

Your responsibilities

span the entire AI/ML engineering lifecycle. Furthermore you will:

• Provide technical leadership in designing, developing, and deploying AI/ML solutions used to create, validate, and improve high-definition, ISA and ADAS maps.
• Own and drive end-to-end AI/ML system architecture, including data preprocessing, model deployment, inference pipelines, agent orchestration, agent deployment, monitoring, and scaling.
• Lead innovation and develop solutions based on machine learning, deep learning, NLP, Generative AI, and Agentic AI.
• Design and build intelligent agent-based systems that combine LLMs, deterministic tools, retrieval, reasoning, and workflow orchestration.
• Build AI/ML systems that are scalable, reliable, reproducible, explainable, and optimized for production environments (on-cloud or in-vehicle).
• Implement MLOps practices including CI/CD for ML, model and prompt/version management, experimentation, monitoring, evaluation, and drift detection.
• Own one or more AI/ML or data components within the broader mapping, validation, and map delivery ecosystem.
• Collaborate with platform, backend, and data engineering teams to integrate AI/ML outputs into map compilation, validation, and delivery workflows.
• Work on feature requirements, model/agent behavior, accuracy expectations, evaluation strategies, and performance characteristics.
• Conduct code reviews, architecture reviews, and share best practices in AI/ML and software engineering.
• Champion efficient, reusable, high-quality code and drive continuous improvement in AI/ML development and engineering processes. You are a fast learner, with an eye for detail, strong problem-solving and debugging skills, and a passion for applying AI to complex engineering problems. In addition you have the following qualifications:
• Bachelor’s or Master’s degree in Computer Science, AI/ML, Mathematics, or a related quantitative field.
• Seven to ten years of overall industry experience, including 3+ years in machine learning engineering, applied ML, AI engineering, data engineering, or backend systems with AI-ML components.
• Proven experience building and deploying end-to-end AI/ML systems in production.
• Strong understanding of ML algorithms, deep learning, data structures, algorithms, and software engineering principles.
• Hands-on experience building systems using Generative AI, LLMs, and Agentic AI.
• Strong development experience with RAG, Vector Databases, Lang. Graph, Lang. Chain, CrewAI, or similar AI orchestration frameworks.
• Experience with SQL/NoSQL databases and data processing pipelines.
• AWS (S3, EMR, Lambda, Sage. Maker or similar ML platforms) is a plus.
• Docker/Kubernetes, CI/CD, Jenkins, and modern software engineering practices.
• Understanding of MLOps, LLMOps, AI evaluation, observability, and responsible AI practices.
• Able to translate business requirements into scalable AI/ML system architectures and production-ready solutions.

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.