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
