Reporting to the Project Manager, Innovation, the Machine Learning Developer is responsible for developing and implementing advanced machine learning models for vessel health monitoring and predictive analytics. This role focuses on the entire AI/ML lifecycle, including model development, testing, deployment, and monitoring, ensuring the effectiveness and scalability of solutions.

• Collaborates with cross-functional teams to design and build scalable data and machine learning pipelines.
• Optimizes the transformation of raw data from various sources into structured formats suitable for machine learning tasks.
• Leads, develops, and implements robust feature engineering techniques to enhance model performance.
• Leads the validation of models using rigorous testing frameworks, including unit tests and integration tests, to ensure reliability and scalability.
• Develops, deploys, monitors, and maintains machine learning models in production environments.
• Provides technical guidance and recommendations to enhance data infrastructure, machine learning workflows, and solution architecture.