Drive innovation as a Machine Learning Engineering Professional focusing on cloud-native solutions. Collaborate with teams to enhance customer engagement through effective ML products.
In this pivotal role, you will deploy and maintain ML applications while ensuring they meet performance and testability standards. By operationalizing these products with Data Scientists, you’ll play a crucial part in delivering measurable business value. Ongoing monitoring and maintenance are vital to ensure product effectiveness.
Key Responsibilities:
• Develop, deploy, and operationalize ML products
• Ensure best practices for ML model deployment
• Collaborate with various technical teams for integration
• Bring innovative ideas for process improvements
• Monitor ML products to sustain their value
Requirements:
• Degree in Software Engineering, Computer Science, or similar
• 4+ years of experience with cloud-native technologies
• Familiarity with Docker, Kubernetes, an...