IMS AI/ML Full Stack Developer
IBM
**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
* 1+ year experience in designing, building, deploying, and/or maintaining software/ML solutions
* 1+ year experience in building web and mobile applications and/or integrating RESTful APIs
* 1+ year industry 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
* Thorough understanding of source control management tools (GitHub) and Agile Life Cycle Management
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