Responsibilities
- Deliver AI powered solutions driving both internal efficiencies and new customer value through data insights
- AI/ML Solution Implementation: Work closely with business leaders and data scientists to understand user needs and transition AI/ML prototypes into production-ready solutions
- Full-Scale Model Deployment: Design, develop, and deploy scalable machine learning models and algorithms to solve complex business problems.
- Data Integration: Ensure efficient collection and integration of data from diverse sources for training and validation of AI models.
- System Integration: Collaborate with tech teams to integrate AI/ML solutions seamlessly into existing systems and enhance data collection processes.
- Performance Optimization: Continuously monitor and optimize model performance to ensure responsiveness and scalability.
- Code Quality and Maintenance: Write clean, maintainable, and well-documented code, ensuring best practices in software development.
- Process Improvement: Leverage AI/ML to identify opportunities for process improvement and contribute to strategic projects aimed at enhancing business performance and competitiveness.
- Change Management and Adoption: Ensure successful adoption of AI/ML solutions by managing organizational change, assisting with user training, and conducting follow-up post implementation to support users and address any issues
Team
Reports to: Director of Engineering
