A company is looking for a Machine Learning Engineer.
Key Responsibilities
Prototype new modeling methodologies and collaborate with the ML engineering team on requirements
Support client implementation teams with complex modeling tasks and perform custom data engineering
Test new product features and algorithms, ensuring accurate implementation prior to release
Required Qualifications
Proficient in data processing code with at least one SQL dialect; Spark SQL experience is desirable
Comfortable using Python and Jupyter notebooks with ML libraries such as MLlib, PyTorch, sklearn, and TensorFlow
Understanding of credit risk modeling fundamentals
Experience in modeling or data engineering within a Credit Risk institution (3-5 years)
Bachelor's degree required; Master's degree preferred
Machine Learning Engineer • Glendale, Arizona, United States