• Develop, train, and deploy machine learning models for predictive analytics, classification, and clustering. • Implement AI-based solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn. • Work with cloud platforms including AWS (SageMaker, Lambda, S3), Azure, and Google Cloud (Vertex AI). • Integrate and fine-tune Hugging Face transformer models (e.g., BERT, GPT) for NLP tasks such as text classification, summarization, and sentiment analysis. • Develop AI automation solutions, including chatbot implementations using Microsoft Teams and Azure AI. • Work with big data technologies such as Apache Spark and Snowflake for large-scale data processing and analytics. • Design and optimize ETL pipelines for data quality management, transformation, and validation. • Utilize SQL, MySQL, PostgreSQL, and MongoDB for database management and query optimization. • Create interactive data visualizations using Tableau and Power BI to drive business insights. • Work with Large Language Models (LLMs) for AI-driven applications, including fine-tuning, training, and deploying models for conversational AI, text generation, and summarization. • Develop and implement Agentic AI systems, enabling autonomous decision-making AI agents that can adapt, learn, and optimize tasks in real-time.