Description

Key Skills: Machine Learning, Python, Generative AI, BFSI

Roles and Responsibilities:

• Design, develop, and implement generative AI models using frameworks such as LangChain, LlamaIndex, and Haystack.
• Apply machine learning techniques using tools like TensorFlow and PyTorch to enhance AI model performance and scalability.
• Collaborate with cross-functional teams to integrate AI-driven solutions into existing enterprise systems.
• Develop and maintain RESTful APIs using FastAPI and Flask to enable seamless interaction with AI applications.
• Perform data preprocessing, analysis, and manipulation using Pandas and NumPy to support model training and evaluation.
• Optimize model performance through experimentation, fine-tuning, and prompt engineering techniques.
• Ensure scalability, reliability, and security of AI solutions deployed in production environments.
• Stay updated with advancements in Generative AI, Large Language Models (LLMs), and machine learning ecosystems.

Skills Required:

• Strong expertise in Machine Learning concepts, including supervised and unsupervised learning techniques.
• Proficiency in Python programming with hands-on experience in building scalable AI applications.
• Experience working with Generative AI frameworks such as LangChain, LlamaIndex, or Haystack.
• Hands-on experience with deep learning libraries including TensorFlow and PyTorch.
• Knowledge of REST API development using FastAPI or Flask.
• Strong data handling skills using Pandas and NumPy for data preparation and analysis.
• Understanding of LLMs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG).
• Exposure to BFSI domain use cases will be considered an added advantage.
• Strong problem-solving skills and ability to work in collaborative, cross-functional environments.

Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Key Skills

Education

Any Graduate