Lead ML & AI Engineer

HERE Technologies•Apply•Published 1 days ago•First seen 1 days ago

Responsibilities

As a Lead AI/ML Engineer you will lead the design and development of production-grade machine learning models, pipelines, and services that power NDS HD Live Maps, ADAS and IVI maps including automated data ingestion. Your responsibilities span the entire AI/ML engineering lifecycle. Furthermore you will:

Provide technical leadership in designing, developing, and deploying ML solutions used to create high-definition, ISA and ADAS maps.
Own and drive end-to-end ML system architecture, including data preprocessing, model training, inference pipelines, deployment, monitoring, and scaling.
Lead innovation and develop models based on computer vision, NLP, deep-learning and machine learning
Build systems using Agentic AI, Generative AI, and foundational ML techniques.
Build ML systems that are scalable, reliable, reproducible, and optimized for production environments (on-cloud or in-vehicle).
Implement MLOps practices: CI/CD for ML, model versioning, feature stores, drift detection, experimentation frameworks.
Own one or more ML or data components within the broader mapping/routing ecosystem.
Collaborate with platform and backend teams to integrate ML outputs into map compilation workflows.
Work on feature requirements, model behavior, accuracy expectations, and performance characteristics.
Conduct code reviews, architecture reviews, and share best practices in ML engineering.
Champion efficient, reusable, high-quality code; drive continuous improvement in ML development processes.

Qualifications

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 or Master’s degree in Computer Science, AI/ML, Mathematics, or a related quantitative field.
Eight to Twelve years of overall industry experience including 3+ years in machine learning engineering, applied ML, data engineering, or backend systems with ML components.
Strong development experience in using RAG, Vector DB, LangGrapg, LangChain, CrewAI
Proven experience building end-to-end ML systems
Strong understanding of ML algorithms, deep learning, data structures, algorithms, and software engineering principles.
Experience with SQL/NoSQL databases
Experience with building system using GenAI/Agentic AI
AWS (S3, EMR, Lambda, SageMaker or similar ML platforms) is a plus
Docker/Kubernetes, CI/CD, Jenkins
Understanding of MLOps tooling and practices
Able to translate business requirements into scalable ML system designs.

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.