About the job
Senior ML Platform Engineer - Artificial Intelligence. We are looking for Senior ML Platform Engineers with strong expertise and passion for building platforms for (Gen) AI applications. As a Senior ML Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed AI development life cycle to enable the building and maintenance of our AI systems.
Responsibilities
Architect, build, and diagnose multi-tenant AI platform systems
Work closely with AI application teams to design seamless workflows for continuous model training, inference, and monitoring
Work with AI experts to understand workflows, pinpoint, and resolve inefficiencies, and to inform the next set of features for the platforms
Collaborate with open-source communities and AI application teams to build a cohesive MLOps experience
Design CI/CD automation frameworks that incorporate regulatory requirements
Develop cloud-native deployment patterns for AI systems across environments
Troubleshoot and debug user issues
Provide operational and user-facing documentation
Qualifications
Minimum
4+ years of experience working with an object-oriented programming language (Python, Go, etc.)
Experience designing cloud-native, distributed platforms
Strong knowledge of Kubernetes, Argo, and container orchestration technologies
Previous experience with modern CI/CD tools and GitOps workflows
Familiarity with implementing automation for model development lifecycles
A proactive mentality and ability to collaborate with peers, stakeholders, and management
A Degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience
An understanding of Computer Science fundamentals such as data structures and algorithms
Preferred
No preferred qualifications listed.