Senior Data Scientist

About the job

Introduction We are seeking a highly skilled and experienced Senior Data Scientist with deep expertise in Machine Learning, Deep Learning, and Generative AI. The ideal candidate will have a strong track record of delivering end-to-end data science solutions in production environments and hands-on experience with LLMs and Agentic AI frameworks. You will be responsible for driving AI/ML projects from ideation to deployment, collaborating with cross-functional teams, and ensuring scalable implementations. Your role and responsibilities • Execute end-to-end Data Science projects including data collection, preprocessing, feature engineering, modelling, evaluation, and deployment. • Design and implement advanced Machine Learning algorithms (classification, regression, clustering, ensemble methods) and Natural Language Processing algorithms (Knowledge Graphs, Topic Modelling, Feature Extraction, Sentiment Analysis, BERT etc.) • Develop and deploy Generative AI and LLM-based solutions using platforms like OpenAI, Hugging Face, and LLama. • Apply Agentic AI frameworks such as LangChain, LangGraph, Crew AI, or Microsoft Semantic Kernel to build intelligent applications. • Proficient in designing and deploying scalable machine learning solutions using cloud architectures, with hands-on experience in at least one major platform (Azure, AWS, GCP, or IBM Cloud). Skilled in leveraging Databricks, ML platforms, managed databases, web hosting services, and document AI tools for end-to-end solution development. • Collaborate with business stakeholders to define problem statements, deliver insights, and drive impact. • Maintain reproducibility and version control using Git, GitHub • Effectively communicate technical concepts and project outcomes to both technical and non-technical stakeholders. Required education Bachelor’s Degree Preferred education Master’s Degree Required technical and professional expertise • 10–12 years of hands-on experience in Data Science, Machine Learning, Deep Learning, and NLP in a production environment. • 2+ years of applied experience in Generative AI and LLMs (e.g., OpenAI, LLama). • Proficiency in agentic AI development using frameworks like LangChain, LangGraph, or similar. • Strong programming skills in Python and experience with ML/DL libraries • Experience deploying models via REST APIs or web applications. • Proficient in SQL for data extraction, transformation, and analysis. • Experience working with large datasets, feature engineering, and data preprocessing pipelines. • Solid understanding of model evaluation, cross-validation, and performance metrics. • Experience in MLOps, including model testing, deployment pipelines, governance frameworks, and continuous monitoring for reliable and compliant machine learning operations. • Experience with cloud ML pipelines and services (proficiency in at least one of Azure, AWS, GCP & IBM Cloud). • Strong interpersonal and client communication skills. ABOUT BUSINESS UNIT IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Requirements

• Machine Learning
• Deep Learning
• Generative AI
• Python
• SQL

Qualifications

• Bachelor's Degree
• Master's Degree

Preferred Technologies

• Machine Learning
• Deep Learning
• Generative AI
• Python
• SQL

About the company

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.