Introduction A career in IBM Consulting is built on long‑term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long‑term career development while valuing your unique skills and experiences. Your Role and Responsibilities As an Application Developer specializing in Cognitive Solutions, you will be responsible for ensuring the quality, performance, availability, scalability, and integrity of applications. You will also serve as a functional interface to applications, ensuring usability and maximum value for clients. Your primary responsibilities will include: Implement Application Solutions: Deliver high‑quality applications related to Cognitive Solutions, focusing on usability, performance, and scalability. This includes implementing solutions that may run on multiple platforms and are composed of multiple software packages. Provide Advisory Expertise: Offer advisory and implementation expertise to clients, including use‑case and business‑case development for Cognitive solutions, proof‑of‑concept execution, and solution outline and design of Cognitive systems. Support Business Development: Assist in business development activities, leveraging your expertise in Cognitive Solutions to drive growth and innovation. Ensure Client Satisfaction: Interface with clients to ensure they receive maximum value from Cognitive Solutions, addressing their needs and concerns throughout the implementation process. Apply Technical Expertise: Utilize your knowledge of Artificial Intelligence, Natural Language Processing, Information Retrieval, Semantic Technologies, or Machine Learning to deliver high‑quality Cognitive Solutions. Required Technical and Professional Expertise Exposure to Artificial Intelligence: Familiarity with AI concepts, tools, and technologies, such as IBM Watson Explorer/Content Analytics, UIMA, or open‑source NLP tools. Experience working with Cognitive Solutions: Knowledge of Cognitive Solutions, including use‑case and business‑case development, proof‑of‑concept execution, and solution outline and design. Understanding of Multiple Platforms: Exposure to implementing solutions on multiple platforms, composed of multiple software packages. Familiarity with Machine Learning: Basic understanding of Machine Learning concepts, tools, and technologies, such as SPSS, R, SAS, MATLAB, Apache Spark/MLlib, or Apache Mahout. Exposure to Semantic Technologies: Familiarity with Semantic Technologies, including Ontologies/Linked Open Data, RDF/OWL/SPARQL. Preferred Technical and Professional Experience Deep Expertise in AI: Experience with Artificial Intelligence, Natural Language Processing, or Information Retrieval, including tools and technologies such as IBM Watson Explorer/Content Analytics, UIMA, or open‑source NLP tools. Knowledge of Semantic Technologies: Familiarity with Semantic Technologies, including Ontologies/Linked Open Data, RDF/OWL/SPARQL, is beneficial for designing and implementing Cognitive Solutions. Familiarity with Machine Learning: Exposure to Machine Learning concepts, tools, and technologies, such as SPSS, R, SAS, MATLAB, Apache Spark/MLlib, or Apache Mahout, can be valuable in delivering high‑quality Cognitive Solutions. #J-18808-Ljbffr