Posted:6 days ago| Platform: Linkedin logo

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Job Description

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About the Role

Machine Learning Engineer

 

Key Responsibilities

  • Develop, test, and deploy AI-driven applications and intelligent agents.
  • Work with frameworks like

    OpenAI API

    ,

    LangChain

    , and

    LlamaIndex

    to build LLM-based solutions.
  • Design and implement scalable system architectures for multi-agent and memory-based systems.
  • Handle data through APIs, web scraping, and vector databases such as

    FAISS

    ,

    Pinecone

    , or

    Chroma

    .
  • Write clean, modular, and well-documented Python code with proper error handling.
  • Manage source code and collaboration using

    Git

    and

    GitHub

    .
  • Create and maintain clear technical documentation and project READMEs.
  • Containerize and deploy applications using

    Docker

    .


Required Skills

  • Proficiency in

    Python

    with a focus on clean and modular code.
  • Strong understanding of

    AI/ML frameworks

    such as OpenAI API and LangChain.
  • Experience with

    version control (Git/GitHub)

    , proper documentation, and clean code structure.
  • Hands-on experience with

    Docker

    for environment setup and deployment.
  • Understanding of

    LLMs

    ,

    prompt engineering

    ,

    memory

    , and

    multi-agent systems

    .
  • Ability to integrate

    LLMs with external data sources and APIs

    .


Preferred Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • Prior project experience in building AI chatbots, RAG (Retrieval-Augmented Generation), or intelligent assistants.
  • Familiarity with

    FastAPI

    ,

    PostgreSQL

    , or

    cloud deployment

    (AWS/GCP).


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