Sr ML & AI Engineer
HERE Technologies10 days ago
Mumbai, IndiaSenior
Responsibilities
- Architect and build AI-first systems using LLMs, autonomous multi-agent architectures, classical ML models, and retrieval-augmented approaches.
- Develop representation and retrieval layers using embedding models, unified latent-space representations, vector similarity search, and scalable retrieval systems.
- Lead agentic AI solutions involving task orchestration, memory and context management, tool invocation, and human-agent collaboration.
- Design and deliver generative AI applications for text, code, images, summarization, and multimodal interfaces, including prompt engineering and model fine-tuning.
- Develop multimodal and vision-language systems for detection, classification, and semantic reasoning.
- Apply deep learning to computer vision, language, planning, and related real-world tasks.
- Design confidence-gating, escalation, human-in-the-loop, and active-learning workflows for autonomous systems.
- Collaborate across teams to translate domain problems into scalable, explainable, production-ready, and responsible AI solutions.
- Design experiments across AI/ML areas including computer vision, NLP, LLMs, distributed computing, 3D modeling, AR/VR, LiDAR/drone processing, and quantum computing.
- Write production-quality Python and use ML frameworks for large-scale training and inference.
- Define and track individual and business-unit KPIs with the manager.
- Support and mentor engineers and data scientists in prompt design, agent workflows, evaluation, and research translation.
- Contribute to patents, internal IP, and peer-reviewed publications.
Requirements
- At least 6 years of ML/AI engineering experience shipping production systems, not only research prototypes.
- Strong foundation in representation learning, embeddings, vector similarity search, and retrieval-augmented approaches.
- Experience building and deploying deep learning models at scale, including data pipelines, evaluation, and MLOps practices.
- Hands-on experience with LLMs and modern transformer architectures.
- Proficiency in Python and PyTorch and/or TensorFlow.
- Ability to own ambiguous end-to-end problems and make independent architectural decisions.
- Experience with classical ML fundamentals including regression, classification, forecasting, and model interpretability.
- Preferred experience with agentic systems, multi-agent orchestration, LangGraph, CrewAI, AutoGen, and LLM-based pipelines.
- Preferred multimodal or vision-language model experience involving imagery, text, or structured data.
- Preferred experience with geospatial data, spatial indexing, geospatial data structures, entity resolution, or conflation.
- Preferred experience with human-in-the-loop systems, active learning, confidence calibration, large-scale data processing, and vector databases.
- Working knowledge of C++ or Java is a plus.
- Exposure to quantum computing, AR/VR, 3D modeling, LiDAR, or drone data processing is a plus.
- Patents, internal IP, or peer-reviewed publications are a plus.
- Familiarity with scikit-learn, large datasets, distributed systems, TinyML, and adjacent technologies is advantageous.
- Candidates with a Master's may have 2–7 years of experience, and Ph.D. holders may have 2–5 years of relevant experience.
Tech Stack
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About HERE Technologies
HERE Technologies builds a location data and mapping platform used by automakers, logistics providers, and enterprises to power navigation, routing, and geospatial analytics. It sells map data, APIs/SDKs, and platform services for fleet, mobility, and supply-chain applications. The company traces its roots to Navteq (founded 1985) and Nokia Maps, and is privately held with headquarters in Eindhoven, Netherlands.