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Key Responsibilities:
- Deliver technical presentations, workshops, and architecture designs to support partner adoption of Red Hat AI platforms.
- Design and implement AI systems, data pipelines, and ML pipelines, collaborating with partners and internal teams.
- Mentor junior team members and contribute to reusable technical assets and community outreach.
What You Will Bring:
- 2–3+ years of experience in machine learning use case development or MLOps, with hands-on Python and frameworks like TensorFlow or PyTorch.
- Strong communication skills for delivering technical presentations and leading business value sessions.
- Preferred background as a sales engineer or implementation consultant for AI solutions.
About Red Hat:
- Red Hat is the world's leading provider of enterprise open source solutions, with a community-powered approach and a global team across 40+ countries.
- The culture is built on open source principles of transparency, collaboration, and inclusion, empowering diverse perspectives.
Red Hat
Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. With associates spread across 40+ countries, Red Hat fosters an open and inclusive culture where creativity and collaboration are valued.