Total Years of Experience: 7 to 8 years. Relevant years of Experience: 6 to 7 years. Mandatory Skills : Must-Have Skills: • 6–7 years in data science, with expertise in Python, pandas, scikit-learn, PyTorch or TensorFlow. • Strong hands-on experience in NLP, LLMs, or Generative AI frameworks. • Experience with REST APIs, data engineering, and basic ML Ops practices. • Solid understanding of structured and unstructured data handling. Alternate Skills Nice-to-Have Skills: • Experience working with or integrating into SAP systems. • Exposure to cloud ML services (AWS/GCP/Azure). • Tools like GitHub Copilot, Amazon CodeWhisperer, or LangChain. • Knowledge of Watson AI, bias detection, and model explainability. Good to have (Not Mandatory) Detailed Job Description Role Overview: We are seeking a highly capable Data Scientist with 6–7 years of experience in designing and implementing AI/ML solutions. The ideal candidate will have strong programming skills in Python, hands-on expertise in machine learning, NLP, and large language models (LLMs). Experience with enterprise integration, especially in SAP environments, is a strong plus.Key Responsibilities: • Develop and deploy ML models for classification, prediction, and optimization tasks. • Apply NLP and LLM techniques to process unstructured data (text, voice, images). • Fine-tune and integrate foundation models/LLMs into enterprise applications. • Build scalable, production-grade data pipelines and model workflows. • Collaboratewith business stakeholders and engineering teams to translate use cases into models. • Document models, testing strategies, and ensure version control and reproducibility. Location: Bangalore Only. We have 2 open position . Resource should be available for F2F Interview in IBM location based on account request and Day 1 reporting post OB. RTH-Y. Threshold Band is 7B. - U2XLP6