Proven experience with GenAI , technologies with overall 6-9 years of experience
Work with Python, LLM / GenAI frameworks and tools AI / ML end-to-end solutions developing
Experience in Azure AI Foundry and Azure AI / ML, LLM, App Insight and LLMOps frameworks
CI / CD pipelines development, LLM model containerizing and deployment on cloud or premise. Models testing and follow-up maintenance. All stages of ML model life cycle ensuring and support
Design, fine-tune, and deploy state-of-the-art Generative AI models for various business use cases.
Good professional experience with Large Language Models (LLM) / GenAI technology like OpenAI API, ChatGPT, GPT-4, Bard, Synthesia, Langchain, HuggingFace Transformers, PyTorch and similar
1+ years of experience with prompt engineering, 1+ years of experience with vector database
Train and customize large language models (LLMs) for domain-specific requirements.
Work with Natural Language Processing (NLP), text-to-image, and other generative AI technologies.
Leverage Azure OpenAI Service to design and deploy Generative AI models.
Strong proficiency in Python and experience with AI / ML libraries such as Pandas, Numpy, and PyTorch.
Familiarity with Azure AI cloud platform, and version control systems like Git.
Excellent communication and leadership skills.
Good To have :
Design and implement end-to-end pipelines for generative AI solutions, from data preparation to deployment in Azure Kubernetes Service (AKS) or Azure Container Instances (ACI).
Ensure efficient model serving with APIs, real-time inference, and monitoring