Primary Skills-Generative AI Azure Open AI Langgraph
- 11-13 Years of IT experience with a specialisation in Data science AI and ML architecture and at least 3 years of experience in architecting GenAI and NLP solutions for complex business use cases.
- As a GenAI/NLP Consultant you will work with clients to design implement and optimize solutions powered by state-of-the-art NLP techniques and large language models (LLMs).
- Advise clients on NLP/LLM strategies solution architectures and implementation best practices.
- Define and own the end-to-end architecture for agentic AI systems using Azure AI services (Azure OpenAI Cognitive Services Azure Machine Learning) and agentic libraries such as LangGraph LangChain etc.
- Design and develop NLP/LLM pipelines for tasks such as information extraction summarization classification conversational Al and many more.
- Well versed with Azure native GenAI services such as Azure foundry and copilot studio and exposure working with LLMs preferably Azure OpenAI and GPT.
- Fine-tune and customize pre-trained language models (e.g. GPT LLaMA BERT) to meet client-specific needs.
- Evaluate and compare different LLM approaches for performance accuracy and efficiency.
- Strategize and implement AI governance and monitoring to ensure alignment to organisation policies regulatory requirements and architectural guidelines.
- Collaborate with data scientists engineers and product stakeholders to align on business goals and technical solutions.
- Create documentation presentations and technical reports for both technical and non-technical audiences.
- Stay abreast of the latest developments in the NLP/LLM landscape and translate insights into actionable recommendations.
- Provide thought leadership and contribute to internal knowledge sharing and resource upbringing efforts.