HERE Technologies Logo

HERE Technologies

Lead ML & AI Engineer

Posted 8 Days Ago
Be an Early Applicant
Hybrid
Mumbai, Maharashtra
Senior level
Hybrid
Mumbai, Maharashtra
Senior level
Build and lead production AI/ML components, including embeddings, retrieval, agents, and multimodal systems, for reuse across domain teams. Translate architectural direction into technical specifications and production-ready implementations, make implementation-level decisions, identify scalability issues, and mentor engineers. The role requires deep expertise in representation learning, vector search, retrieval-augmented systems, deep learning, LLMs, agent frameworks, distributed systems, and ML engineering.
The summary above was generated by AI
What's the role?

In this role you will build the core AI building blocks models, agents, and retrieval components that domain teams consume rather than rebuild, and provides hands-on technical leadership for the engineers building alongside them. In addition you will:


Build Core AI Components

  • Own end-to-end delivery of core building blocks  e.g., the representation-retrieval critical path (embeddings, similarity search, semantics) that other domain teams call into.
  • Take architectural direction from the Principal/Lead Engineer and turn it into a working, production-ready component — not just a prototype.

Technical Leadership Without Full Architectural Ownership

  • Provide day-to-day technical leadership for AI/ML Engineer and Geo AI Engineer team members working on related components.
  • Make implementation-level technical calls independently; escalate genuine architectural questions to the Principal Engineer rather than deciding them ad hoc.

Bridging Architecture and Execution

  • Translate the Principal enginner architectural decisions into concrete technical specs the rest of the team can build against.
  • Flag early when a building block being built won't actually generalize across domain teams, before it ships.
Who are you?

You are a fast learner, with an eye for detail, strong problem-solving and debugging skills, and a passion for applying AI to complex engineering problems. In addition you have the following qualifications:

  • Bachelor’s, Master’s degree or PHD in Computer Science, AI/ML, Mathematics, or a related quantitative field.
  • 7+ years of experience, including demonstrated technical leadership. Ph.D. holders may have 6+ years experience.
  • Proven track record of leading the design and delivery of production ML systems end to end, and setting technical direction that other engineers build on.
  • Deep expertise in representation learning and embeddings, vector similarity search, and retrieval-augmented approaches  able to architect the foundation-model core, not just contribute to it.
  • Strong command of ML fundamentals, including regression, classification, forecasting, and model interpretability.
  • Hands-on experience with deep learning architectures such as CNN, LSTM, GRU, GANs, BERT, Diffusion Models, and Transformers.
  • Substantial experience with LLMs (e.g., GPT-3/4, Claude, Mistral) and architecting agent-based solutions using frameworks like LangGraph, CrewAI, or AutoGen.
  • Multimodal / vision-language model experience  jointly encoding imagery with text or structured data at an architectural level.
  • Proficiency in Python; familiarity with other programming languages like C++ or Java is a plus.
  • Fluency with ML frameworks such as PyTorch, TensorFlow, scikit-learn, and experience working with large datasets and distributed systems.
  • A track record of making independent architectural decisions, defending them with evidence, and holding a high measurement bar for whether systems actually work.
  • Demonstrated ability to mentor senior engineers and lead cross-functional, agile teams.
 

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 be part of AI infrastructure and analytics vertical, which builds and supporst AI/ML infrastructure and workflows that can be used across teams, with solutions designed to scale.


HERE Technologies Gurugram, Haryana, IND Office

22nd Floor, DLF Epitome, Building No 5, Tower A, DLF Cyber City Phase 2, Sector 25, Gurugram, India, 122002

Similar Jobs at HERE Technologies

8 Days Ago
Hybrid
Senior level
Senior level
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
Lead the architecture and delivery of production AI and machine learning platforms, including representation learning, embeddings, vector search, retrieval-augmented generation, foundation models, agentic AI, and multimodal systems. Set technical direction, evaluate emerging technologies, define measurable success criteria, mentor engineers and data scientists, and collaborate with research, engineering, and product teams on scalable, explainable, responsible solutions for spatial and operational challenges.
Top Skills: AutogenAutonomous AgentsBertC++ClaudeCnnCrewaiDiffusion ModelsDistributed SystemsFoundation ModelsGansGeospatial DataGpt-3Gpt-4GruJavaLanggraphLarge Language ModelsLstmMistralMultimodal AiPythonPyTorchRetrieval-Augmented GenerationScikit-LearnSpatial IndexingTensorFlowTransformersVector Search
8 Days Ago
Hybrid
Expert/Leader
Expert/Leader
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
Lead the architecture, development, deployment, and monitoring of production-grade machine learning systems for high-definition, ADAS, ISA, and IVI maps. Lead work across computer vision, NLP, deep learning, Generative AI, Agentic AI, MLOps, data ingestion, model training, inference, and scalable cloud or in-vehicle deployment. Provide technical leadership, conduct architecture and code reviews, integrate ML outputs with mapping workflows, and translate business requirements into reliable ML system designs.
Top Skills: Agentic AiAws EmrAws LambdaAws S3Aws SagemakerCi/CdComputer VisionCrewaiDeep LearningDockerFeature StoresGenerative AiJenkinsKubernetesLangchainLanggraphMlopsNatural Language ProcessingNoSQLRagSQLVector Databases
13 Hours Ago
Hybrid
Senior level
Senior level
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
Lead software engineer designing and developing scalable systems that enrich and publish global points-of-interest data. Responsibilities include full lifecycle development, automation, testing, deployment, configuration management, production support, performance optimization, AI/ML algorithm implementation, deep learning optimization, and collaboration with users and engineering teams. The role also involves translating requirements into reliable software designs, improving development practices, and mentoring team members.
Top Skills: SparkAWSAws KiroAzureDbmsDeep LearningGithub CopilotJavaJSONMicroservicesNeural NetworksPostgisPostgresPysparkPythonRestScalaSoaSQLXML

What you need to know about the Delhi Tech Scene

Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account