At IBM Global Sales we bring together innovation collaboration and expertise to help clients solve their most complex business challenges. Working across industries and geographies you’ll partner with colleagues clients and partners to co-create solutions that drive digital transformation and lasting impact.Success in Global Sales is built on curiosity empathy and collaboration. You’ll connect technical understanding with strong people skills building trusted relationships and shaping solutions that improve business and society. With world-class onboarding continuous learning and a supportive culture IBM offers the tools and opportunities to grow your career. Join us and be part of a global team that’s passionate about driving innovation and making a difference.
IBM Client Engineering - AI Engineers contribute to the co-creation of Proofs of Value (PoV) and Minimal Viable Product that demonstrate business value leading to client investment in AI strategic solutions using Foundation Models. AI Engineers will engage in developing and deploying AI systems to solve real-world business problems in a wide array of industries around the globe using IBM watsonx platform. AI Engineers cover all stages of the AI solution lifecycle from Data Engineering to Train Validate Tune Deploy AI Operations and AI Governance to create a trusted end-to-end AI solution.
- Understanding of key concepts in the Foundation Models literature and expertise in building and deploying them for real-world examples.
- Knowledge of cloud technologies and expertise in leveraging them for large-scale AI or FM workloads.
- Ability to identify fundamental problems from real-world cloud use-cases and to design build and validate successful AI solutions.
- Capability to demonstrate and evaluate AI solutions via experimental methods particularly through hands-on creation of prototypes.
- Strong communication skills and the ability to collaborate effectively within a local team.
- Excellent command of the English language both verbal and written.
- Strong contribution record demonstrated through active participation in open source communities sharing technical resources and educational content maintaining influential technical blogs or social media presence and public evangelism of technology through speaking engagements workshops and community events.
- Track record in being part of highly collaborative teams to tackle important problems which produce high impact solutions.
- Expertise in Python programming and statistical analysis including experience with advances statistical methods data modeling and implementing efficient algorithmic solutions.