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    Home/Jobs/Machine Learning Engineer, Specialist

    Machine Learning Engineer, Specialist

    Vanguard

    Hyderabad
    8-10 years
    Today
    ₹38–63 LPA
    Full-time
    Onsite

    Skills Required

    Transformer architectures
    LLM
    Prompt Engineering
    vLLM
    Retrieval-augmented generation (RAG)
    Agentic frameworks
    Python
    PyTorch
    Deep Learning
    Attention mechanisms
    SFT
    LoRA/PEFT
    RLHF/DPO
    Instruction tuning
    MLOps

    Description

    We are seeking a Senior Research Engineer to join our dynamic AI research team. In this role, you will work on cutting-edge AI technologies, contribute to the development of transformative solutions, and lead research initiatives that result in high impact publications.

    Company: Vanguard

    Role: Machine Learning Engineer, Specialist

    Location: Hyderabad, India

    Experience:

    • 8-10+ years of experience in machine learning engineering or data science roles
    • 5+ years of relevant work experience

    Key Skills:

    • transformer architectures
    • attention mechanisms
    • training/fine-tuning dynamics
    • Python
    • PyTorch
    • LLMs: SFT, LoRA/PEFT, RLHF/DPO, instruction tuning
    • prompt engineering
    • production model/LLM monitoring
    • Retrieval-augmented generation (RAG)
    • agentic frameworks
    • MLOps tooling: experiment tracking (W&B/MLflow), model serving (vLLM, TGI), containerization, LLM observability tooling (LangSmith, Langfuse, etc.)
    • distributed/multi-GPU training

    Qualification:

    • Advanced degree (Post Doctorate or PhD or master’s in computer science, AI, Data Science or related field)

    Role Focus:

    • Conduct advanced research in AI domains, such as Generative AI, Agentic AI, Cognitive AI architectures, call transcription, and large language models
    • Drive the development of new algorithms, models and techniques that push the boundaries of AI technology
    • Work closely with engineering teams to transition research findings into scalable, production-ready solutions
    • Publish research in top-tier AI conferences and journals
    • Mentor junior scientists and engineers in conducting high-quality research and writing impactful publications

    Nice to have:

    • Cognitive architectures / world models
    • Responsible AI depth: red teaming, evals for safety, interpretability, constitutional methods
    • Cross-domain ML: multimodal, or RL beyond RLHF
    • Mentorship/tech-lead experience

    Other:

    • Consistent publication record in top tier conferences and journals is a plus
    • Familiarity with Responsible AI practices and frameworks
    • Ensure all research and solutions adhere to responsible AI principles, prioritizing safety

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

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