Job Description
Be a part of RBC as a Machine Learning Infrastructure Engineer, specializing in designing and implementing ML automation tools. Collaborate with a progressive team passionate about enhancing enterprise ML solutions.
This role requires substantial expertise in deploying machine learning platforms and managing large language models on state-of-the-art GPU infrastructures. You will monitor system performance, implement observability stacks, and create effective data pipeline practices to advance RBC's mission.
Key Responsibilities: • Deploy machine learning platforms on Kubernetes/OpenShift • Manage large language model infrastructures • Track resource allocation and system performance • Implement monitoring tools for platform health • Provide design support and documentation to teams
Requirements: • Strong experience with distributed/ML systems • Proficiency in building CI/CD pipelines • Programming knowledge in Python, Bash, or Rust • Familiarity with software...
This role requires substantial expertise in deploying machine learning platforms and managing large language models on state-of-the-art GPU infrastructures. You will monitor system performance, implement observability stacks, and create effective data pipeline practices to advance RBC's mission.
Key Responsibilities: • Deploy machine learning platforms on Kubernetes/OpenShift • Manage large language model infrastructures • Track resource allocation and system performance • Implement monitoring tools for platform health • Provide design support and documentation to teams
Requirements: • Strong experience with distributed/ML systems • Proficiency in building CI/CD pipelines • Programming knowledge in Python, Bash, or Rust • Familiarity with software...