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.
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 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.
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 NDS (Navigation Data Standard) team. As a member the NDS 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 multiple automotive customers where the data is going straight into cars to power IVI, ADAS and autonomous driving uses cases.
