Machine Learning Engineer - Intern/Co-op - Risk Management

Researches, builds, and implements scalable artificial intelligence systems capable of learning and making predictions to business requirements. Enhances data pipelines and lakes to ensure data is clean, accurate, and optimized for machine learning models. Monitors, evaluates, and optimizes learning processes to continuously improve high-performance models. Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools.

• Designs and develops machine learning (ML) and deep learning systems.

• Runs machine learning tests and experiments. Trains and retrain systems to prevent drift and optimize results.

• Solves complex problems with multi-layered data sets, extends existing ML frameworks and optimizes existing machine learning libraries.

• Develops Machine Learning apps, implements algorithms, and builds tools to apply ML frameworks.

• Turns unstructured data into useful information by auto-tagging images and text-to-speech conversions.

• Develops ML algorithms to analyze huge volumes of historical data to make predictions.

• Runs tests, performs statistical analysis, and interprets test results.

• Focus may be on a business/group.

• Thinks creatively and proposes new solutions.

• Exercises judgment to identify, diagnose, and solve problems within given rules.

• Works mostly independently.

• Broader work or accountabilities may be assigned as needed.