01Overview
Key Responsibilities
Design and develop Generative AI solutions using models like GPT, Llama, Gemini, etc.
Build applications using APIs such as Open AI, Azure Open AI, or other AI platforms
Fine-tune machine learning and deep learning models for specific use cases
Develop prompt engineering strategies to improve model performance
Work with structured and unstructured data for training and inference
Integrate AI models into applications (web, mobile, enterprise systems)
Optimize performance, accuracy, and cost of AI models
Collaborate with data scientists, developers, and business teams
Ensure ethical AI practices and data privacy compliance
Required Skills
Robust programming skills in Python
Experience with Generative AI / LLMs (GPT, BERT, etc.)
Knowledge of Machine Learning & Deep Learning concepts
Hands-on with frameworks like Tensor Flow, Py Torch
Familiarity with Lang Chain, Hugging Face, vector databases
Experience with REST APIs and cloud platforms (Azure, AWS, GCP)
Understanding of prompt engineering and RAG (Retrieval-Augmented Generation)
Data handling with SQL, Pandas, Num Py
Preferred Skills
Experience in chatbot or conversational AI development
Knowledge of MLOps and model deployment
Familiarity with Kubernetes, Docker
Exposure to NLP techniques and embeddings
Experience working with large datasets .
