Gen AI Specialist

Role & responsibilities

• Build GenAI applications using Python for tasks like summarization, chatbots and intelligent automation.

• Fine tune and deploy LLMs and traditional ML models for classification, prediction, and decisioning.

• Design solutions using embeddings, vector search, and retrieval augmented generation (RAG).

• Integrate models with AWS services like SageMaker, Lambda, Bedrock and data platforms like Snowflake.

• Collaborate across teams to embed AI/ML into business workflows and automation pipelines.

Preferred Skills

• Strong Python skills with experience in GenAI frameworks like LangChain, Hugging Face, OpenAI
• Solid grounding in ML algorithms, model training and evaluation.
• Familiarity with prompt engineering, tokenization and model optimization.
• Hands-on with AWS tools for scalable deployment and serverless execution.
• Ability to connect models to APIs, data sources and orchestration tools. Build GenAI applications using Python for tasks like chatbots, summarization and intelligent automation.
• Develop and fine tune LLMs and ML models for classification, prediction, and decision support.
• Design solutions using embeddings, vector search, and retrieval augmented generation (RAG).
• Deploy models using Azure Machine Learning and Azure OpenAI scale with Azure Functions and Cognitive Services.
• Integrate AI systems with APIs, enterprise data platforms and business workflows.