• Support cross-functional teams in designing and implementing machine learning-based solutions • Contribute to Machine Learning Engineering (MLE) internal tools and best practices • Work with Engineers to integrate Data Science models into customer-facing solutions • Support model development through Google Cloud Platform (GCP) service enablement and configuration • Contribute to the roadmap for Data Science and MLE team tools and technology development • Design and implement monitoring and alerting systems to maintain model performance and integrity • Mentor and guide junior machine learning engineers, providing technical expertise and fostering a culture of continuous learning and development • Optimize and fine-tune models to achieve peak performance and accuracy within resource constraints