AI Engineer_ LLMOps-Fractal Analytics-3 - 5 years

FA

AI Engineer_ LLMOps

Fractal Analytics

2 months ago

3 - 5 years

  • You will be building curated enterprise grade solutions for GenAI application deployment at a production scale for clients.
  • Solid understanding and hands on skills for GenAI application deployment that includes development and engineering skills.
  • The role requires development and engineering skills on GenAI application development including data ingestion, choosing the right fit LLMs, simple and advanced RAG etc.
  • PYTHON

    Natural Language Processing (NLP)

    Data Engineering

    Langchain

    LLM Finetuning

    RAG(Retrieval-Augmented Generation)

    GEN AI

    CI/CD pipeline

    Kubernetes

    Aws

    Google Cloud Platform (GCP)

    Azure

    Devops

    MLOps

    Version Control (Git)

    Job description & requirements

    Role Brief:

    • You will be building curated enterprise grade solutions for GenAI application deployment at a production scale for clients. Solid understanding and hands on skills for GenAI application deployment that includes development and engineering skills. The role requires development and engineering skills on GenAI application development including data ingestion, choosing the right fit LLMs, simple and advanced RAG, guardrails, prompt engineering for optimisation, traceability, security, LLM evaluation, observability, and deployment at scale on cloud or on premise. As this space evolves very rapidly, candidates must also demonstrate knowledge on agentic AI frameworks. Candidates having strong background on ML with engineering skills is highly preferred for LLMOps role

     

    Required Qualifications:

    • 3 - 5 years of experience in working on ML projects that includes business requirement gathering, model development, training, deployment at scale and monitoring model performance for production use cases
    • Strong knowledge on Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, AgentOps (optional)
    • Should have worked on proprietary and open-source large language models
    • Experience on LLM fine tuning, creating distilled model from hosted LLMs
    • Building data pipelines for model training
    • Experience on model performance tuning, RAG, guardrails, prompt engineering, evaluation, and observability
    • Experience in GenAI application deployment on cloud and on-premises at scale for production
    • Experience in creating CI/CD pipelines
    • Working knowledge on Kubernetes
    • Experience in minimum one cloud: AWS / GCP / Azure to deploy AI services
    • Experience in creating workable prototypes using Agentic AI frameworks like CrewAI, Taskweaver, AutoGen
    • Experience in light weight UI development using streamlit or chainlit (optional)
    • Desired experience on open-source tools for ML development, deployment, observability, and integration
    • Background on DevOps and MLOps will be a plus
    • Experience working on collaborative code versioning tools like GitHub/GitLab
    • Team player with good communication and presentation skills

    EDUCATION:

    B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent.

    Experience :

    3 - 5 years

    Job Domain/Function :

    artificial intelligence

    Employment Type :

    Full Time

    Number Of Position(s) :

    1

    Educational Qualifications :

    Bachelor of Engineering

    Location 2 :

    Mumbai, Maharashtra, India,

    Location 3 :

    Chennai, Tamil Nadu, India,

    Location 4 :

    Gurgaon, Haryana, India,

    Location 5 :

    Noida, Uttar Pradesh, India,

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