Job Description:

Must Skill Required

• ML engineering
• Python
• Scala
• Kubernetes
• Tensor flow
• PyTorch
• Scikit-learn)
• Real time processing

Project overview

This position is for ML  decisioning team that own a platform does which does ML decision for mobile /web properties , does Campaign Arbitration  through PV(present value ) to measure the ML scoring and show to UI partners. This team comprises of DE/ SE owns date pipeline /API , feature development of these properties .They are increasing the scope of this project by increasing the  team to take on ML engineering hence the need to onboard ML engineer. The team is taking over the existing ML data pipeline own by the data science team/model training pipeline. Team is widespread in NY /Mclean .The team would be responsible to own end to end ML infrastructure. They are moving from Reno fast models to transformers models in later this year

This role will be responsible for operation & maintenance of pipelines/built on Quickflow /heads down work on optimization/automation , scaling the infrastructure for additional customer to move discover back to customers /releasing ML models everyweek. They already have 1 Data engineer so this role will be focus on ML engineering side who will be partnering with the DE