We are looking for a Data Scientist with a strong background in Machine Learning, Deep Learning, and AI-driven applications. The ideal candidate should be passionate about building models, extracting insights from data, fine-tuning LLMs, and developing AI-powered solutions. You will work closely with cross-functional teams to develop innovative AI applications and help drive data-driven decision-making. Key Responsibilities: Data Analysis & Pattern Recognition ? Read and analyze large datasets to uncover trends and actionable insights. Model Development ? Build, train, and optimize Machine Learning/Deep Learning models. Generative AI & LLM Fine-Tuning ? Work on fine-tuning large language models, Retrieval-Augmented Generation (RAG), and NLP/NLU applications. AI-Powered Applications ? Develop AI-driven applications, including chatbots and automation tools. Computer Vision & OpenCV ? Implement image processing and deep learning models for visual data. MLOps & Deployment ? Develop and deploy ML models using MLOps frameworks for scalability and efficiency. Agentic AI & Autonomous Systems (Preferred) ? Research and implement AI agents for decision-making tasks. Data Visualization & Insights ? Utilize visualization tools to present findings and support strategic decisions. Domain Understanding & Strategy ? Collaborate with stakeholders to understand business needs and contribute AI-driven solutions. Be a team player and help the team to build applications Requirements Programming: Python Machine Learning & Deep Learning: TensorFlow, PyTorch, Scikit-learn NLP & NLU: Large Language Models, Transformers, RAG Applications Computer Vision: OpenCV, Image Processing, Object Detectio MLOps & Model Deployment: Docker, Kubernetes, MLflow Generative AI & LLM Fine-Tuning: OpenAI, Hugging Face, LangChain Data Visualization: Tableau, Power BI, Matplotlib, Seaborn Agentic AI (Preferred but not mandatory)