Senior Data Scientist

As a Senior Data Scientist in the Data & Analytics department, your expertise in machine learning and statistics will be utilized to derive valuable insights from data. Your responsibilities will include developing predictive models, interpreting data, and collaborating closely with ML engineers to ensure the effective deployment and functioning of these models. Key Responsibilities: - Lead cross-functional teams in designing, developing, and deploying Generative AI solutions, focusing on Large Language Models (LLMs). - Architect, train, and fine-tune state-of-the-art LLMs (e.g., GPT, BERT, T5) for various business applications, aligning with project goals. - Deploy and scale LLM-based solutions, integrating them into production environments, and optimizing for performance and efficiency. - Develop and maintain machine learning workflows and pipelines for training, evaluating, and deploying Generative AI models using Python or R, and libraries like Hugging Face Transformers, TensorFlow, and PyTorch. - Collaborate with product, data, and engineering teams to define and refine use cases for LLM applications such as conversational agents, content generation, and semantic search. - Design and implement fine-tuning strategies to adapt pre-trained models to domain-specific tasks, ensuring high relevance and accuracy. - Evaluate and optimize LLM performance, addressing challenges like prompt engineering, inference time, and model bias. - Manage and process large, unstructured datasets using SQL and NoSQL databases, ensuring smooth integration with AI models. - Build and deploy AI-driven APIs and services to provide scalable access to LLM-based solutions. - Utilize data visualization tools (e.g., Matplotlib, Seaborn, Tableau) to communicate AI model performance, insights, and results to non-technical stakeholders. Secondary Responsibilities: - Contribute to data analysis projects with a focus on text analytics, natural language understanding, and Generative AI applications. - Build, validate, and deploy predictive models tailored to text data, including models for text generation, classification, and entity recognition. - Handle large, unstructured text datasets, performing preprocessing and data cleaning steps like tokenization, lemmatization, and noise removal for machine learning and NLP tasks. - Work with cutting-edge text data processing techniques to ensure high-quality input for training and fine-tuning Large Language Models (LLMs). - Collaborate with cross-functional teams to develop and deploy scalable AI-powered solutions that process and analyze textual data at scale. In this role, you will be expected to ensure timely deliverables, spot training infrastructure fixes, lead technical aspects of projects, and deliver error-free results. Education Qualification: - Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA) - Post-Graduation: Master of Science (M.Sc) / Master of Technology (M.Tech) / Master of Computer Applications (MCA) Experience: - 5-10 years of relevant experience.,