Senior Machine Learning Engineer
Anti-Fraud
Description:
NATURE OF WORK
- Collaborate with the Data Scientists of Maya to bring their models into production. This includes working on designing and operationalizing) pipelines needed to train our models in production and creating production-grade ML Services for the models.
- Collaborate with our Analytics Engineers to build features pipelines needed by our data scientists and production training pipelines.
- Advocate best-practices in ML Engineering including but not limited to (1) Training Automation, (2) Model Monitoring, (3) Latency Optimization for Realtime Model APIs (Model Serving Runtimes, Model Compilation, etc)
- Work closely with the other Mesh Teams to integrate ML APIs of DS to other services within Maya.
- Address system and/or product issues, while managing incidents and responses to ensure proper follow-up and mitigation
- Drive project progress and communicate status to partners
- Mentor the Junior members of the team
REQUIRED QUALIFICATIONS
• With at least a bachelor’s degree in any quantitative discipline (i.e. Statistics, Physics, Math, Computer Science, etc.).
• Having at least 5 years of relevant experience
• Research and development experience is a plus
• Experience in operationalizing Machine Learning models on a large-scale