**Introduction** A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe. In this role, you will work for IBM BPO, part of Consulting that, accelerates digital transformation using agile methodologies, process mining, and AI-powered workflows.    You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including IBM Software and Red Hat.    Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be supported by mentors and coaches who will encourage you to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and learning opportunities in an environment that embraces your unique skills and experience.    **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 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. **Preferred technical and professional experience** * 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. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.