Engineering Manager, Machine Learning

at  Red Hat Software

About the job:
Do you want to be part of a team that is focused on scaling the deployment, tuning, and monitoring of Foundation Models and large language models? Do you want to play a pivotal role in shaping the roadmap and strategy for OpenShift AI serving with the large language models? We are seeking an experienced and dynamic Engineering Manager to lead our fast growing and globally distributed engineering team.
The ideal candidate will combine strong technical expertise in model serving, MLOps, and Responsible AI with stellar leadership and managerial skills.. As an engineering manager, you will be responsible for guiding the development and deployment of model serving and model metrics & monitoring by driving innovation, and ensuring the successful execution of projects. This role requires a strategic thinker who can align open source initiatives with business goals and foster a collaborative and high-performance team culture.
We will considers candidates located in any European location where Red Hat is registered to hire.

What you will do:

• Lead and inspire a distributed team of individual contributors, fostering a collaborative and innovative work environment.
• Engage with the AI and machine learning open source communities such as KServe, TrustyAI, Kubeflow, HuggingFace, vLLM, and several other open source communities.
• Work with product management and engineering teams to develop technology roadmaps and schedules, and communicate these schedules externally.
• Work with cross-functional engineering managers and teams on documentation, product management, and quality assurance to coordinate tasks necessary for releasing enterprise-quality MLOps software.
• Working closely with the technical leads and scrum leads to direct the team in agile development.
• Mentor and nurture team members in their career development, and professional growth.
• Recruit and build a world class engineering team.
• Work closely with engineers and researchers on Red Hat OpenShift, Red Hat Enterprise Linux, and Red Hat Middleware teams to provide end-to-end AI/ML capabilities.

• Lead and inspire a distributed team of individual contributors, fostering a collaborative and innovative work environment.
• Engage with the AI and machine learning open source communities such as KServe, TrustyAI, Kubeflow, HuggingFace, vLLM, and several other open source communities.
• Work with product management and engineering teams to develop technology roadmaps and schedules, and communicate these schedules externally.
• Work with cross-functional engineering managers and teams on documentation, product management, and quality assurance to coordinate tasks necessary for releasing enterprise-quality MLOps software.
• Working closely with the technical leads and scrum leads to direct the team in agile development.
• Mentor and nurture team members in their career development, and professional growth.
• Recruit and build a world class engineering team.
• Work closely with engineers and researchers on Red Hat OpenShift, Red Hat Enterprise Linux, and Red Hat Middleware teams to provide end-to-end AI/ML capabilities