AI Engineer

6 years

0 Lacs

Posted:22 hours ago| Platform: Linkedin logo

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Job Type

Contractual

Job Description

Job Title:

Location:


Job Type: Contract


Key Responsibilities

  • Design, build, and deploy robust

    AI/ML models

    for classification, prediction, and recommendation systems.
  • Develop and maintain

    REST APIs

    for AI/ML models using

    FastAPI

    or

    Flask

    .
  • Engineer scalable and asynchronous APIs optimized for real-world production environments.
  • Apply

    Generative AI

    techniques—including

    LLMs

    ,

    transformers

    , and

    diffusion models

    —to create impactful business solutions.
  • Architect

    Agentic AI systems

    with autonomous reasoning, planning, and decision-making capabilities.
  • Fine-tune and customize

    Large Language Models (LLMs)

    for domain-specific use cases.
  • Collaborate with cross-functional teams to integrate AI-driven capabilities into enterprise products and workflows.
  • Ensure scalability, reliability, and security of AI deployments using modern DevOps practices.


Required Skills & Qualifications

  • 4–6 years of hands-on experience in

    AI/ML engineering

    .
  • Proficiency in

    Python

    and frameworks such as

    NumPy

    ,

    Pandas

    ,

    Scikit-learn

    ,

    PyTorch

    , and

    TensorFlow

    .
  • In-depth understanding of

    Generative AI

    , including

    LLMs (GPT, LLaMA, Claude)

    and

    diffusion models

    .
  • Experience with

    Agentic AI frameworks

    (e.g., LangChain, LlamaIndex, AutoGPT, CrewAI).
  • Strong background in

    NLP

    ,

    embeddings

    , and

    vector databases

    (Pinecone, Weaviate, FAISS, Milvus).
  • Proven expertise in

    REST API development

    using

    FastAPI/Flask

    , including API authentication and monitoring.
  • Experience with

    Docker

    ,

    Kubernetes

    , and

    cloud platforms

    (AWS, GCP, Azure).


Preferred Qualifications

  • Experience with

    prompt engineering

    ,

    RAG (Retrieval Augmented Generation)

    , and

    model fine-tuning

    .
  • Strong written and verbal communication skills for effective collaboration and documentation.
  • Proven ability to

    prototype, test, and productionize

    AI solutions that solve real-world challenges.

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