Sr ML & AI Engineer

As a Senior ML/AI Engineer at HERE Technologies, you will be a key member of a cross-disciplinary team focused on advancing AI and intelligent automation. Your primary responsibility will be to develop cutting-edge machine learning systems that utilize Agentic AI, Generative AI, and foundational ML techniques to drive the next generation of applications. - Prototype solutions to address real-world spatial, operational, and knowledge-driven challenges - Architect and implement AI-first systems using technologies such as Large Language Models (LLMs), Autonomous Multi-Agent Architectures, and Classical ML models like regression, clustering, XGBoost, SVM, and tree-based learners - Lead the development of Agentic AI solutions, including orchestration, memory/context management, tool invocation, and human-agent collaboration - Design and deliver end-to-end Generative AI applications for text generation, summarization, code synthesis, image generation, and multi-modal interfaces - Collaborate across teams to translate domain-specific problems into scalable, explainable, and production-ready AI solutions while incorporating responsible AI principles - Stay at the forefront of AI research to evaluate and implement emerging LLM models, agentic frameworks, and open-source innovations - Design and lead experiments across advanced AI/ML areas, encompassing computer vision, NLP, LLMs, and emerging domains like quantum computing, distributed computing, 3D modeling, AR/VR, and LiDAR/drone data processing - Write efficient, production-quality code using Python and leverage frameworks like PyTorch, TensorFlow, and Spark for large-scale ML training and inference - Define and track KPIs at both individual and business unit levels to ensure impactful innovation - Support and mentor engineers and data scientists in best practices related to prompt design, agent workflows, evaluation frameworks, and research translation - Contribute to HERE's innovation footprint through patents, internal IP development, and peer-reviewed publications To qualify for this role, you should hold a Master's degree or Ph.D. in Computer Science, AI/ML, Mathematics, or a related field. Candidates with a Master's degree should have 5-7 years of experience, while Ph.D. holders may have 3-5 years of relevant experience. A strong understanding of ML fundamentals, hands-on experience with deep learning architectures, proficiency in Python, and familiarity with ML frameworks are essential qualifications. Curiosity and exposure to adjacent technologies like TinyML, Quantum Computing, or 3D modeling/AR will be considered advantageous. If you are passionate about driving innovation and creating positive change in an open world, HERE Technologies invites you to join us on this exciting journey.,