Machine Learning Platform Engineer I

📋 Description

• Collaborate closely with ML Platform Engineers, Machine Learning Scientists, and engineers across
• Deploy and operationalize ML models to production in partnership with Machine Learning Scientists
• Enhance and maintain our cloud-based ML Platform on GCP, writing production-grade Python and
• Build and maintain CI/CD pipelines for ML model training and inference, ensuring reliable and
• Deploy, manage, and scale model serving endpoints on Kubernetes, ensuring low-latency
• Assist in extending, developing, and hosting custom and open-source AI tooling ; enabling teams to

🎯 Requirements

• 1+ year of experience deploying and maintaining ML models in production
• Good understanding of MLOps principles, including matters such as experiment tracking
• Strong hands-on Python programming skills, with proficiency across common ML and data libraries
• Familiarity with a major cloud platform, preferably GCP
• Experience with containerization (Docker), with preferred familiarity in container orchestration
• Strong context-switching ability with sharp attention to detail, adapting quickly to shifting

🎁 Benefits

• Every employee receives a WFH budget and can choose to work hybrid or fully remote
• Home office setup support, including internet and phone expenses
• Stock options as part of the total compensation package
• Personal and professional development budget
• Paid parental leave
• Pension plan and life insurance