AI/ML Developer

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:

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• 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