Data Scientist- Gen AI

About the Role We are seeking a highly skilled and innovative Data Scientist – Generative AI to join our growing AI/ML team. The ideal candidate will have hands-on experience building and deploying Generative AI solutions using Large Language Models (LLMs), machine learning, and advanced analytics techniques. You will work closely with cross-functional teams to design AI-driven products, automate workflows, and deliver scalable intelligent solutions for enterprise use cases. Key Responsibilities • Design, develop, and deploy Generative AI and Machine Learning solutions for business applications. • Build and optimize LLM-powered applications using models such as GPT, Llama, Claude, Gemini, or similar. • Develop RAG (Retrieval-Augmented Generation) pipelines and AI agents. • Fine-tune foundation models using enterprise datasets and domain-specific knowledge. • Implement prompt engineering strategies and evaluate model performance. • Collaborate with data engineers, software developers, and business stakeholders to deliver AI solutions. • Work with vector databases, embeddings, and semantic search technologies. • Perform data analysis, feature engineering, and model validation. • Ensure AI solutions follow responsible AI, governance, security, and compliance standards. • Stay current with emerging trends in Generative AI, NLP, and machine learning technologies. Required Qualifications • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field. • 3+ years of experience in Data Science, Machine Learning, or AI development. • Strong experience with Python and ML/AI libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain, or LlamaIndex. • Hands-on experience with Large Language Models (LLMs) and Generative AI frameworks. • Experience building APIs and deploying AI solutions in cloud environments such as AWS, Azure, or GCP. • Knowledge of vector databases like Pinecone, Weaviate, ChromaDB, or FAISS. • Strong understanding of NLP, deep learning, and model evaluation techniques. • Experience with SQL, NoSQL databases, and big data technologies is a plus. • Excellent analytical, communication, and problem-solving skills. Preferred Qualifications • Experience with AI agent frameworks and autonomous workflows. • Familiarity with MLOps, CI/CD pipelines, Docker, and Kubernetes. • Exposure to enterprise AI governance and responsible AI practices. • Experience working in Agile/Scrum environments. • Relevant certifications in AI/ML or cloud platforms are a plus.