Machine Learning Engineer
Core
Researches, builds, and implements scalable artificial intelligence systems to learn and make predictions for business requirements; enhances data pipelines and optimizes models.
Role type
Senior Machine Learning Engineer (Deep Learning & Scaling)
Builds
Scalable AI systems, ML apps, and decision support tools for business groups within a financial institution.
Domain
Financial Services / Machine Learning & Deep Learning
Deliverable
production ML models
Required skills
Deep Learning, Machine Learning, Scaling Models, ML algorithms, Computational Thinking, Programming, Mathematics, Statistics, Operations Research, Systems Thinking, Critical thinking, Creative reasoning
Preferred skills
Continuous Integration and Continuous Delivery/Deployment
Technologies
ML frameworks, ML libraries
Responsibilities
Design and develop machine learning and deep learning systems; run tests and experiments to train and retrain systems; solve complex problems with multi-layered data sets; develop ML apps and tools to apply ML frameworks; turn unstructured data into useful information via auto-tagging and text-to-speech conversions; analyze huge volumes of historical data to make predictions; perform statistical analysis and interpret test results.
Seniority
Senior, hands-on IC (5-7 years experience)
