Senior AI / ML Engineer

Job Functions & Duties:

• Ability to work in a language agnostic environment.

• Capacity to develop tools to ingest, clean, and label data as required for model analysis.

• Communicate with data engineers and database administrators to ensure required data is available, cleaned, and labelled for analysis.
• Articulation of complex and analytical problems with the business and analytics teams on model results and team outputs.
• Comfort with incorporating and translating domain knowledge/learning into machine learning models.

Minimum Requirements:

• Experience in supervised learning and unsupervised learning methods.

• Bachelors in a quantitative field or related, and 5 years of experience in any of the following - Tensorflow, Pytorch, Spark, SQL, Python, R, Hive, Pandas, Jupyter, SciKit
• Background in customer feature extraction using statistical approaches and linear/non-linear classification methods for fraud detection and risk modeling.
• Experience deploying models to production and developing models in a reproducible framework.

• Self-motivated and driven to pursue innovative tooling to produce industry-leading machine learning solutions.
• Masters in a quantitative field or related, and 3 years of experience in any of the following - Tensorflow, Pytorch, Spark, SQL, Python, R, Hive, Pandas, Jupyter, SciKit

• Experience deploying models into Microservice frameworks and maintaining execution SLAs.
• Experience working in on-premises environments with resource constraints.
• 1 or more years of experience in software development with experience in Docker and Kubernetes.