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Lead ML & AI Engineer

5 - 10 years

15 - 17 Lacs

Posted:8 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

HERE is looking for a highly skilled and visionary

Lead AI/ML Engineer

to join our

Technology Innovation Lab

a team dedicated to pushing the boundaries of whats possible with AI. You will lead the development of intelligent systems powered by

Generative AI

,

Agentic AI

, and

Classical Machine Learning

, driving innovation across real-world applications.
This role demands both

hands-on technical depth

and

strategic thinking

. You will architect intelligent workflows involving

autonomous agents

, build scalable ML systems, and integrate next-gen AI capabilities into prototypes that shape the future of HERE

Key Responsibilities

  • Architect and build AI-first systems using

    Large Language Models (LLMs)

    ,

    Autonomous Multi-Agent Frameworks

    , and

    Classical ML models

    .
  • Lead development of

    Agentic AI solutions

    , including task orchestration, memory management, tool use, and human-agent feedback loops.
  • Drive end-to-end GenAI applications including

    text generation, summarization, image synthesis

    , code generation, and multi-modal interfaces.
  • Mentor a team of data scientists and engineers; define best practices in

    prompt engineering

    ,

    agent collaboration

    , and

    evaluation frameworks

    .
  • Collaborate with cross-functional teams to transform domain problems into scalable AI solutions.
  • Stay current with and evaluate emerging tools, models, and open-source projects in

    LLMs, LangGraph, CrewAI, AutoGen

    , and related ecosystems.
  • Identify opportunities for innovation and contribute to publications, patents, or internal IP generation.
  • Design experiments and stay up-to-date with industry inventions in AI/ML (focus on LLM, NLP, Computer vision), quantum computing( good to have), location
    intelligence, distributed computing, LiDAR and drone processing, 3D modeling and AR/VR(good to have), emphasizing the engineering aspect of technological advancements. Relevant experience in deep learning, LLM based models, neural network, transformers and diffusion model with good coding and mathematical experience.
  • Ensure solutions are scalable, explainable, and aligned with responsible AI principles.
  • Work with the Manager to Identify and Define lead KPIs related to effective assessment of performance at individual level and impact assessment of innovation implementation at business unit level.
Who are you?
  • Master s or Ph.D.

    in

    Computer Science, Mathematics, Machine Learning, AI

    , or other related quantitative fields.
    • Candidates with a

      Ph.D.

      may have

      5+ years

      of relevant experience.
    • Candidates with a

      Master s

      degree should have

      7+ years

      of industry experience in AI/ML roles.
  • Demonstrated expertise in

    Agentic AI systems

    experience building, deploying, or designing autonomous multi-agent frameworks (e.g.,

    LangGraph, CrewAI, AutoGen, OpenAgents

    ).
    • Ability to design agents with

      tool use, memory, planning, reflection, and task decomposition

      capabilities.
    • Exposure to Mission Control Platforms (MCPs) or centralized agent orchestration is a plus.
  • Strong applied knowledge in

    Machine Learning, Deep Learning, and Computer Vision

    , including architectures such as

    CNNs, RNNs, GANs, Transformers

    , and

    Diffusion Models

    .
  • Practical experience with

    Large Language Models (LLMs)

    such as

    GPT-3/4, Claude, Mistral, LLaMA

    , including techniques like

    prompt engineering

    ,

    fine-tuning

    , or

    embedding-based retrieval

    .
  • Strong programming background in

    Python

    (required), and working knowledge of

    C++

    ,

    Java

    , or similar languages for scalable ML systems and software implementation.
  • Hands-on exposure to

    distributed systems

    ,

    high-performance computing

    , or

    big data tools

    like

    Spark, Ray, Hadoop

    , or

    PySpark

    .
  • Previous participation in

    internships, research collaborations, or volunteering

    with professionals in AI/ML domains, showing the ability to apply academic learning to real-world problems.
  • Demonstrated ability to innovate in emerging fields with a

    creative, first-principles approach

    to problem-solving.
  • Curiosity and openness to explore future-facing domains like

    Quantum AI

    ,

    TinyML

    ,

    Edge Intelligence

    , or

    3D Spatial Modeling

    .

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Here Technologies
Here Technologies

Technology/Mapping and Location Services

Melbourne

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