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 :

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