Description

Design and deploy generative AI solutions for the BFSI sector using Python, LLMs, and modern frameworks.

Responsibilities

• Design and implement generative AI models using LangChain, LlamaIndex, or Haystack.
• Build and maintain RESTful APIs with FastAPI or Flask for seamless AI application integration.
• Apply machine learning techniques via TensorFlow and PyTorch to enhance model performance and scalability.
• Optimize LLM outputs through prompt engineering, fine-tuning, and retrieval-augmented generation (RAG).
• Preprocess and manipulate data using Pandas and NumPy to support model training and evaluation.

Required Skills

• 5+ years of experience in Python programming and building scalable AI applications.
• Strong expertise in Machine Learning concepts, including supervised and unsupervised learning.
• Hands-on experience with Generative AI frameworks such as LangChain, LlamaIndex, or Haystack.
• Proficiency in deep learning libraries including TensorFlow and PyTorch.
• Knowledge of LLMs, prompt engineering, and RAG architectures.
• Experience developing REST APIs using FastAPI or Flask.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Key Skills

Education

Any Graduate