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Skills Required

data ai ml pytorch tensorflow personalization sql nosql pipeline fastapi django rest azure aws docker kubernetes git design containerization model scalability monitoring

Work Mode

On-site

Job Type

Full Time

Job Description

Location

Relevant Experience


Requirements

  • Bachelor’s/Master’s in

    Computer Science, Data Science, or related field

    .
  • 5–6 years of

    hands-on AI/ML / Data Science

    experience.
  • Strong expertise in

    Python

    and ML frameworks (

    PyTorch, TensorFlow, Scikit-learn, Hugging Face

    ).
  • Practical experience with

    LLMs, embeddings, vector databases, and RAG pipelines

    .
  • Proven background in

    recommendation systems, personalization, and predictive modeling

    .
  • Proficiency in

    SQL/NoSQL databases

    and

    data pipeline development

    .
  • Familiarity with

    APIs & microservices

    (FastAPI, Django REST, Flask).
  • Experience with

    cloud ML deployments

    (Azure/AWS/GCP).
  • Good knowledge of

    Docker, Kubernetes, Git, CI/CD

    for production ML.


Responsibilities

  • Design, develop, and deploy

    end-to-end AI/ML solutions

    .
  • Lead projects involving

    LLMs, NLP, recommendation engines, and predictive models

    .
  • Build, optimize, and maintain

    data pipelines and APIs

    for ML services.
  • Deploy and scale ML models on

    cloud platforms

    with containerization and CI/CD.
  • Collaborate with cross-functional teams to deliver

    production-ready AI systems

    .
  • Ensure

    model performance, scalability, monitoring, and explainability

    .
  • Mentor junior team members and contribute to

    best practices in MLOps

    .

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