{"id":2164923,"url":"https://alion.io/job/here-technologies-sr-ml-ai-engineer-2","title":"Sr ML & AI Engineer","company":{"id":40571,"name":"HERE Technologies","domain":"here.com","url":"https://alion.io/company/here","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":{"grade":"A","score":100,"open_postings":8,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":7,"computed_at":"2026-10-12T06:55:09Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":27},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"Computer Vision","optional":false},{"name":"CrewAI","optional":false},{"name":"Diffusion Models","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Transformers","optional":false},{"name":"XGBoost","optional":false},{"name":"Agile","optional":true},{"name":"BERT","optional":true},{"name":"C++","optional":true},{"name":"Claude","optional":true},{"name":"Interpretability","optional":true},{"name":"Java","optional":true},{"name":"LangChain","optional":true},{"name":"LLM","optional":true},{"name":"Mistral","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"PyTorch C++","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true},{"name":"TensorFlow C++","optional":true}],"status":"live","first_seen_at":"2026-10-09T09:39:20Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-12T14:47:27Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"What's the role?\nAs a Senior ML & AI Engineer, you will help shape the next generation of AI-powered products and platforms at HERE. You will design, develop, and deploy intelligent systems that combine Generative AI, Agentic AI, machine learning, and advanced retrieval techniques to solve complex business and spatial challenges. You will have the opportunity to:Architect and build AI-first systems using Large Language Models (LLMs), autonomous multi-agent architectures, and classical ML models such as regression, clustering, XGBoost, SVM, and tree-based learners.\nBuild the representation and retrieval layers that power intelligent systems - designing embedding models, unified latent-space representations across heterogeneous signals, vector similarity search, and retrieval-augmented approaches at scale.\nLead the development of Agentic AI solutions - task orchestration, memory and context management, tool invocation, and human-agent collaboration - using frameworks such as LangGraph, CrewAI, and AutoGen.\nDesign and deliver end-to-end Generative AI applications for text generation, summarization, code synthesis, image generation, and multi-modal interfaces, optimizing prompt engineering and model fine-tuning.\nDevelop multimodal and vision-language systems that jointly encode imagery with text and structured attributes for detection, classification, and semantic reasoning.\nApply deep learning techniques including CNNs, RNNs (LSTM, GRU), GANs, diffusion models, transformers, and graph neural networks to real-world tasks in vision, language, and planning.\nDesign and calibrate confidence-gating and escalation logic for autonomous systems, including human-in-the-loop and active-learning workflows.\nCollaborate across teams to translate domain problems into scalable, explainable, and production-ready AI solutions, incorporating responsible AI principles.\nStay at the forefront of AI research by evaluating and implementing emerging models, agentic frameworks, and open-source innovations, ensuring technical currency in a fast-evolving space.\nDesign and lead experiments across advanced AI/ML areas including computer vision, NLP, and LLMs, and emerging domains such as distributed computing, 3D modeling, AR/VR, LiDAR/drone data processing, and quantum computing (good to have).\nWrite efficient, production-quality code in Python, with working knowledge of C++ or Java where needed; leverage frameworks such as PyTorch, TensorFlow, and Spark for large-scale ML training and inference.\nDefine and track KPIs at both individual and business-unit levels in partnership with the manager, ensuring impact-driven innovation.\nSupport and mentor engineers and data scientists in best practices for prompt design, agent workflows, evaluation frameworks, and research translation.\nContribute to HERE's innovation footprint through patents, internal IP development, and peer-reviewed publications.\nQualifications\n6+ years in ML/AI engineering, with a track record of shipping production systems (not solely research prototypes).\nStrong foundation in representation learning and embeddings, vector similarity search, and retrieval-augmented approaches.\nProven experience building and deploying deep learning models at scale, including data pipelines, evaluation, and MLOps practices.\nHands-on experience with LLMs and modern transformer architectures.\nProficiency in Python and modern ML frameworks (PyTorch and/or TensorFlow).\nAbility to own ambiguous, end-to-end problems and make independent architectural decisions.\nPreferred\nExperience with agentic systems and multi-agent orchestration (LangGraph, CrewAI, AutoGen) and LLM-based pipelines.\nMultimodal / vision-language model experience - jointly encoding imagery with text or structured data.\n Geospatial experience - working with spatial data, spatial indexing, geospatial data structures, or entity resolution / conflation over spatial records. (Strongly valued: the work centers on spatial reasoning at scale.)\nExperience designing human-in-the-loop or active-learning systems, and confidence calibration for autonomous decisioning.\nLarge-scale data processing (e.g. Spark) and vector databases.\nNice to have\nWorking knowledge of C++ or Java.\nExposure to emerging domains: quantum computing, AR/VR, 3D modeling, LiDAR / drone data processing.\nPatents, internal IP, or peer-reviewed publications.\nWho are you?\nCandidates with a Master's should have 2-7 years of experience.\nPh.D. holders may have 2-5 years of relevant experience.\nStrong understanding of ML fundamentals, including regression, classification, forecasting, and model interpretability.\nSolid grounding in representation learning and embeddings, vector similarity search, and retrieval-augmented approaches the core of large-scale foundation-model work.\nHands-on experience with deep learning architectures such as CNN, LSTM, GRU, GANs, BERT, Diffusion Models, and Transformers.\nExperience working with LLMs (e.g., GPT-3/4, Claude, Mistral) and building prompt-based or agent-based solutions using frameworks like LangGraph, CrewAI, or AutoGen.\nExposure to multimodal / vision-language models - jointly encoding imagery with text or structured data is a strong plus.\nProficiency in Python; familiarity with other programming languages like C++ or Java is a plus.\nFamiliarity with ML frameworks such as PyTorch, TensorFlow, scikit-learn, and experience working with large datasets and distributed systems.\nExperience with geospatial or spatial data spatial indexing, geospatial data structures, or entity resolution / conflation is a strong advantage, as the work centers on spatial reasoning at scale.\nCuriosity and exposure to adjacent technologies like TinyML, Quantum Computing, or 3D modeling/AR is an advantage.\nExcellent problem-solving skills and the ability to work in cross-functional, agile teams.\nHERE 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.\nWho are we?\nHERE 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.\nAt 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.","description_format":"text","description_chars":6694,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Geospatial Analytics","Smart Mobility","Navigation & Mapping"],"lifecycle":[{"event":"open","at":"2026-10-09T09:39:20Z"}],"visa":[],"liveness":{"score":81,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":0.945,"age_days":2,"expected_fill_days":7,"reasons":["conf:3","velocity","win:mid"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/here-technologies-sr-ml-ai-engineer-2","json_url":"https://alion.io/job/here-technologies-sr-ml-ai-engineer-2.json","meta":{"generated_at":"2026-10-12T16:07:00Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":25716,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":40571},"rest":"https://alion.io/mcp/rest/get_company?id=40571"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhere-technologies-sr-ml-ai-engineer-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fhere-technologies-sr-ml-ai-engineer-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fhere-technologies-sr-ml-ai-engineer-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/here-technologies-sr-ml-ai-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhere-technologies-sr-ml-ai-engineer-2"}]}