Responsibilities

• Collaborate with cross-functional partners (Product Managers, Data Scientists, Data Engineers, Software Engineers, Business teams) to build data and Machine Learning products
• Take ownership of objectives and key results for your workstream, and own technical solutions in partnership with your manager
• Architect and build robust systems to train, deploy, run inference, and monitor Machine Learning and AI systems at scale
• Champion code quality, reusability, scalability, maintainability, and security, and provide input into strategic architecture decisions
• Implement processes and tools to ensure data quality, enforce data governance policies and engineering best practices
• Integrate Machine Learning and AI systems with production applications
• Innovate with new approaches, staying abreast of current research and latest technologies in the broader ML engineering community