Support and contribute to Generative AI initiatives across the organization.
Develop and deploy GenAI applications using LLMs and AI frameworks.
Leverage models such as GPT, Gemini, and LLaMA for AI-powered solutions.
Build and manage multi-agent AI systems.
Develop solutions using LangChain, LangGraph, FastAPI, Streamlit, Chainlit, and Transformers.
Integrate AI capabilities into enterprise applications through APIs and cloud-native architectures.

🎯 Requirements

Bachelor's degree in computer science, Engineering, Statistics, or a related technical field
6 - 8 years of experience in Data Analytics, Data Science, or GenAI roles.
Proficiency in Python, PySpark, and SQL.
Hands-on with Pandas, NumPy, Scikit-learn, and Matplotlib.
GenAI platforms including OpenAI, Anthropic, Vertex AI, and FastAPI/Gradio/Streamlit.
RAG and Agentic AI using LangChain and LangGraph.

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