**Introduction** A career in IBM Software means you'll be part of a team that transforms our customers challenges into solutions.  Seeking new possibilities and always staying curious, we are a team dedicated to creating the world's leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career.  As an AI/ML Developer, you will contribute to the development of AI solutions incorporated in IBM Rapid Infrastructure Automation leveraging IBM's advanced WatsonX platform. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.  **Your role and responsibilities** As a key member of our dynamic team, you will play a vital role in crafting exceptional software experiences. You will work on impactful projects that drive digital transformation and innovation across various industries, seeing your work deployed in real-world applications. WatsonX is IBM's commercial generative AI and scientific data platform based on the cloud, offering a studio, data store, and governance toolkit. It allows AI developers to leverage a diverse set of LLMs for various NLP tasks, including question answering, content generation, summarization, text classification, and data extraction. Key responsibilities: * Optimize machine learning models for IBM Rapid Network Automation, integrating with various applications. * Write efficient and scalable code to support new AI functionalities. * Collaborate with cross-functional teams to define product requirements and deliver solutions. * Develop and maintain MLOps pipelines for training, validating, testing, and deploying machine learning models. **Required technical and professional expertise** * А Degree in Computer Science, AI, or a related field * Experience coding and debugging in any of the following languages: Go, NodeJS (Typescript), Python * Proven interest in generative AI, natural language processing, or computer vision. * Experience working with LLMs * Strong understanding of concepts such as fine tuning, RAG, and distillation. * Experience with micro-service architecture and development * Strong analytical and problem-solving skills * Fluent in written and spoken English **Preferred technical and professional experience** * Working knowledge of building machine learning and deep learning models theory and practice * Strong foundation in statistics and familiarity with common ML algorithms. * Experience with vector databases and GraphQL * Deep familiarity with Linux * Familiarity with performance profiling and benchmarking * Familiarity with containerized environments (Docker/K8S/OpenShift) * Experience with cloud environments * Exposure to build and test automation * Good knowledge of networking concepts