Job Information
IBM IMS AI/ML Full Stack Developer in San Jose, California
Introduction
IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. We are looking for individuals who are passionate about applying cutting-edge AI to transform mission-critical workloads for organizations that power the global economy. In this role, you will collaborate closely with our development teams to design, implement, and maintain AI/ML solutions that tap into data generated from workloads managed by IBM Information Management System (IMS) running on z/OS to enable and then deliver AI-based insights and guidance to our clients, improving their business outcomes.
Your role and responsibilities
Software Developers at IBM are the backbone of our strategic initiatives to design, code, test, and provide industry-leading solutions that make the world run today. Planes and trains take off on time, bank transactions complete in the blink of an eye, and the world remains safe because of the work our software developers do. Whether you are working on projects internally or for a client, software development is critical to the success of IBM and our clients worldwide. At IBM, you will use the latest software development tools, techniques and approaches and work with leading minds in the industry to build solutions you can be proud of.
Required technical and professional expertise
Bachelors degree in Computer Science, Machine Learning, or related fields
Knowledge in designing, building, deploying, and/or maintaining software/ML solutions
Knowledge in building web and mobile applications and/or integrating RESTful APIs
Programming experience with Python, JavaScript, or Java
Strong verbal and written communication skills
Results-oriented team player with strong problem-solving skills and the ability to work across multiple teams
Preferred technical and professional experience
Knowledge in building machine learning workflows necessary to productize AI platforms and enable self-service AI solutions
Knowledge about z/OS and development and testing on z/OS environment
Knowledge about Transaction Managers and Database Management
Understanding of source control management tools (GitHub) and Agile Life Cycle Management
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