Lead-Data Insight & Automation

Experience : 4Yrs - 10 Yrs • 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 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.

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. Preferred Skills • Strong Python development with experience in GenAI frameworks like LangChain, Hugging Face, OpenAI. • Solid foundation in ML algorithms, training pipelines and evaluation techniques. • Familiarity with prompt engineering, tokenization and model optimization. • Hands-on with Azure cloud tools for model lifecycle, deployment,and serverless execution. • Ability to connect models to data sources, automation tools and orchestration platforms.

• 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. Preferred Skills • Strong Python development with experience in GenAI frameworks like LangChain, Hugging Face, OpenAI. • Solid foundation in ML algorithms, training pipelines and evaluation techniques. • Familiarity with prompt engineering, tokenization and model optimization. • Hands-on with Azure cloud tools for model lifecycle, deployment,and serverless execution. • Ability to connect models to data sources, automation tools and orchestration platforms.