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Job Type

Full Time

Job Description

Key Responsibilities:


  • Derive and design use cases from structured and unstructured data.
  • Provide LLM expertise to solve AI problems using state-of-the-art language models and off-the-shelf LLM services such as OpenAI models.
  • Apply Retrieval-Augmented Generation (RAG) and relevant techniques to enhance LLM performance and capabilities.
  • Develop end-to-end machine learning pipelines, including model development, tuning, implementation, deployment, and MLOps.
  • Build and fine-tune transformer-based deep learning models.
  • Collaborate with business and product teams to develop and implement analytics-driven AI solutions.
  • Communicate findings and results to both technical and non-technical audiences.
  • Stay updated with the latest research and innovations in AI, ML, Deep Learning, and Generative AI.

Mandatory Skills:

  • Python, Scikit-learn, PyTorch, Transformers, SQL, LangChain
  • Model building, hyperparameter tuning, performance evaluation, and deployment
  • Deep Learning / LLM model fine-tuning and evaluation

Good to Have Skills:

  • LLMOps
  • Cloud experience (preferably AWS)

Experience Mix:

  • AI / ML – 50%
  • Deep Learning – 25%
  • GenAI – Around 2 years
  • Computer Vision / Video Analytics – as part of DL and GenAI

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