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Ai Ml Engineer

5 - 8 years

18 - 25 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

About the Role

AI ML Engineer


Key Responsibilities

  • Design and implement

    RAG (Retrieval-Augmented Generation)

    pipelines and AI agentic systems using LLM frameworks.
  • Fine-tune LLMs and develop

    narrow, domain-specific models

    using industry best practices.
  • Collaborate with data scientists and product teams to deploy ML models in production environments.
  • Build and maintain robust

    MLOps pipelines

    using

    MLFlow

    , ensuring reproducibility and traceability of experiments.
  • Integrate and deploy solutions using

    Azure DevOps

    and related cloud services.
  • Implement secure and scalable

    authentication flows

    using Azure AD and

    GraphAPI

    .
  • Optimize performance of deployed models with a focus on latency, cost, and maintainability.
  • Document and present architecture, experiment results, and production workflows.

Required Skills & Experience

  • Strong foundational knowledge in

    Computer Science, IT systems, and architecture

    .
  • Proficient in

    Python

    , with solid experience in both

    Object-Oriented and Functional Programming paradigms

    .
  • Practical experience with

    LLMs

    , including open-source models.
  • Hands-on experience with

    RAG pipelines

    and

    AI agentic frameworks

    .
  • Expertise in

    MLOps tooling

    , especially

    MLFlow

    , model versioning, and CI/CD for ML.
  • Solid understanding of

    model deployment

    and serving using Docker, Kubernetes, FastAPI, etc.
  • Proven experience working with

    Azure cloud

    , including:
    • Azure DevOps

      for pipelines and release management.
    • Azure GraphAPI

      for organizational data access.
    • Authentication and security protocols

      .
  • Good communication skills and ability to work in cross-functional teams.

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Avkalan.ai
Avkalan.ai

Artificial Intelligence / Data Analytics

San Francisco

50-100 Employees

1 Jobs

    Key People

  • Jessica Smith

    CEO
  • Michael Johnson

    CTO

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