
10,000+ employees
Founded 1993
🏢 Enterprise
💰 Corporate Round on 1999-03
Enterprise • Cloud
Red Hat is a leading provider of enterprise open source software solutions, helping companies worldwide to build and deploy applications across hybrid cloud infrastructures. With a strong focus on developing secure, stable, and innovative technologies, Red Hat offers a broad portfolio including products like Red Hat Enterprise Linux, Red Hat OpenShift, and Red Hat Ansible Automation Platform. These products support IT services on any infrastructure efficiently. Trusted by more than 90% of the U. S. Fortune 500, Red Hat empowers organizations to modernize their IT environments, leveraging open source communities to drive technological advancement.
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10,000+ employees
Founded 1993
🏢 Enterprise
💰 Corporate Round on 1999-03
Enterprise • Cloud
Red Hat is a leading provider of enterprise open source software solutions, helping companies worldwide to build and deploy applications across hybrid cloud infrastructures. With a strong focus on developing secure, stable, and innovative technologies, Red Hat offers a broad portfolio including products like Red Hat Enterprise Linux, Red Hat OpenShift, and Red Hat Ansible Automation Platform. These products support IT services on any infrastructure efficiently. Trusted by more than 90% of the U. S. Fortune 500, Red Hat empowers organizations to modernize their IT environments, leveraging open source communities to drive technological advancement.
• Deliver technical presentations, including deep-dive demos and workshops, with minimal supervision. • Develop technical responses for RFx (RFI, RFP, RFQ) and architecture designs. • Work with the partner Solution Architect, account manager, and sales specialist to identify challenges and blockers to drive Red Hat AI within new and existing partners. • Plan, design, and implement AI systems with partners, applying the ability to architect and build data pipelines, ML pipelines, and ML training and serving approaches. • Identify partner AI stakeholders, acting as a technical advocate within both their line-of-business and internal teams.
• 2–3+ years of experience in Machine Learning Use Case Development • Practical experience with a statistical programming language (e.g., Python) • Communication: Experience delivering technical presentations and leading business value sessions • Computer Science or similar degree
• Flexible working hours • Professional development opportunities
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