Data Scientist – Artificial Intelligence (AI)

As a Data Scientist – Artificial Intelligence (AI) at company, you will collaborate with cross-functional teams to design, develop, and implement cutting-edge AI and machine learning models. You will leverage big data and cloud computing to enhance IBM's AI-driven business strategies. Your primary responsibilities will include: ✅ AI Model Development & Deployment Develop, validate, and deploy AI models for predictive and prescriptive analytics. Build scalable and efficient machine learning solutions. Work with structured and unstructured data to generate business insights. ✅ Data Integration & Processing Design efficient data pipelines for large-scale AI applications. Implement data preprocessing, feature engineering, and model optimization. ✅ Collaborative AI Innovation Work in an Agile and collaborative environment alongside engineers, consultants, and analysts. Partner with internal and external clients to develop tailored AI-driven solutions. Communicate technical insights to stakeholders with diverse expertise levels. ✅ Machine Learning & Deep Learning Develop deep learning models using TensorFlow and PyTorch. Implement Natural Language Processing (NLP) and Computer Vision models. Optimize AI performance through continuous model improvement. ✅ AI in Business & Strategy Leverage AI for automation, process optimization, and business intelligence. Apply machine learning techniques to solve real-world challenges. Work on Gen AI projects, including code transformation (e.g., COBOL to Java).

IBM is a global leader in AI and enterprise technology, known for its cutting-edge research and innovation.