Required technical and professional expertise Strong fundamentals in Computer Science in connection with cognitive computing / artificial intelligence / machine learning, DevSecOps / AIOps. Experience in designing, evaluating and developing

intelligence and machine learning so as to create new solutions. Explore, understand, and implement most recent technologies and approaches for data science problems. Drive the development and deployment of sophisticated AI based solutions ... solutions tailored to customer needs, including both traditional machine learning and LLM-based solutions. Manage data pipeline for AI model training, including data collection, cleaning, preprocessing, and ensuring data quality and integrity to

Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning techniques in your projects Writing programs to cleanse and integrate data ... in an efficient and reusable manner Development of scalable and robust data and machine learning pipelines Application of traditional machine learning algorithms as well as modern deep learning approaches (such as GenAI) Implementation

Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries...

Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries...

and business knowledge, a System Engineer role is for you. In your role, you may be responsible for: Learning and adopting IT architecture skills to effectively design and develop application components and integrate software packages on