Machine Learning Engineer, OpenShift AI
- רעננה
- משרה קבועה
- משרה מלאה
- Architect and lead implementation of new features and solutions for RHOAI, focusing on observability, insights, and optimizations for large-scale GenAI workloads running on Kubernetes
- Innovate in the MLOps domain by participating in leading upstream communities such as llm-d
- Provide technical vision and leadership on critical and high impact projects
- Use CI/CD best practices to deliver solutions as productization efforts into RHOAI
- Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
- Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements
- Collaborate with cross-functional teams to identify opportunities for AI integration within the software development lifecycle, driving continuous improvement and innovation in engineering practices
- Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
- Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
- Represent RHOAI in external engagements including industry events, customer meetings, and open source communities
- Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI
- Mentor, influence, and coach a distributed team of engineers
- Advanced experience in machine learning engineering, with a focus on production-grade systems
- Advanced experience in Kubernetes, OpenShift or other cloud-native technologies
- Ability to quickly learn and guide others on using new tools and technologies
- Experience with source code management tools such as Git
- Proven ability to innovate and a passion for staying at the forefront of technology.
- Excellent system understanding and troubleshooting capabilities
- Autonomous work ethic, thriving in a dynamic, fast-paced environment.
- Technical leadership acumen in a global team environment
- Excellent written and verbal communication skills
- Master's degree or higher in computer science, machine learning, or related discipline
- Understanding of how Open Source and Free Software communities work
- Experience with development for public cloud services (AWS, GCE, Azure)
- Experience working with or deploying MLOps platforms
- Demonstrate proficiency in utilizing LLMs (e.g., Google Gemini), as relevant, for tasks such as brainstorming solutions, deep research, summarizing technical documentation, drafting communications, summarizing complex technical information, and enhancing problem-solving efficiency across the development lifecycle.
Mploy