Red hat Engineering Manager - Machine Learning 

Ireland 

228341885

Job Summary

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.

Primary job responsibilities

• 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 (https://github.com/kserve) , TrustyAI (https://github.com/trustyai-explainability) , Kubeflow (https://github.com/kubeflow/) , HuggingFace (https://github.com/huggingface/text-generation-inference) , vLLM (https://github.com/vllm-project/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.

What You Will Bring

• 5+ years of significant hands-on software development and system design experience.

• 2+ years of managing software engineering teams.

• Proven experience in leading machine learning engineering teams, with a track record of successful project delivery and development of software engineers.

• Experience in machine learning frameworks and tools, such as PyTorch, and HuggingFace.

• Excellent programming skills in languages like Python, or Go.

• Experience with developing and scaling applications with Kubernetes.

• Solid understanding of core machine learning concepts.

• Excellent written and verbal communication skills.

• Ability to lead and work with diverse and distributed teams from multiple countries and cultures.