Sr. ML Ops Engineer, Forward-Deployed

📋 Description

• Productionize customer-tailored predictive models, configurations, and scoring workflows with
• Build and improve UI workflows for training triggers, model refreshes, validation outcomes, model
• Enhance model dashboards that make model health, score changes, data quality, refresh status, and
• Build or modify the APIs, backend services, data contracts, and orchestration workflows behind
• Automate model retraining, validation, promotion, and deployment workflows for customer engagements.
• Create safeguards for data quality, score distributions, threshold changes, and edge cases before

🎯 Requirements

• 6+ years of experience in MLOps, ML platform engineering, backend engineering, full-stack
• Experience owning machine-learning systems in production, including training, deployment
• Strong Python and SQL skills, including APIs, backend services, asynchronous workflows, testing
• Experience building or materially contributing to internal tools, operational dashboards, or
• Comfortable debugging across the stack: UI, APIs, workflows, data pipelines, model artifacts, and
• Experience releasing changes safely across multiple customers or production environments, including

🎁 Benefits

• Full-time employees can take advantage of health coverage, paid parental leave, generous paid
• We’ll make sure you have the equipment and support you need to work and connect with your teams, at
• Growth mindset culture represented in all that we do, from onboarding through to numerous learning
• Quarterly wellness education sessions to encourage self care and personal growth.
• Wellness days and ERG-hosted events to celebrate and energize all 6sense employees and their