AI/ML Developer

Role & responsibilities

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

Preferred candidate profile