Operations

• Lead the design, deployment, and maintenance of production-grade ML systems
• Architect robust ML pipelines and apply advanced statistical techniques
• Ensure models are accurate, explainable, and scalable
• Apply algorithms such as regression, tree-based models, SVMs, clustering, and forecasting to solve high-impact problems
• Lead the full lifecycle from data preprocessing and feature engineering to training, validation, deployment, and monitoring
• Apply hypothesis testing, Bayesian methods, and model interpretability techniques to ensure reliable insights
• Define ML architecture, best practices, and performance standards for enterprise-scale solutions
• Build scalable ML pipelines and APIs in Python (primary) and Golang (for backend services)
• Design and manage CI/CD pipelines for ML, including automated retraining, model versioning, monitoring, and rollback strategies
• Partner with engineering, analytics, and product teams to align technical solutions with business objectives

Senior Development Operations Engineer

VP, Operations

Senior Manager, Field Deployment and Operations

President – Integrator, Operations Leader

Vice President, Delivery & Deployment Operations

Director – Sales Commission Operations