Work with Production, Engineering, Data Science to plan, design and deliver customer-facing experiences
Be hands-on in shaping product, user experience, and team processes to iterate quickly
Dive deep into the customer problem
Develop expertise in building software that directly influences real-world human behavior

Requirements

Lead the architecture design and execution to build machine learning-based solutions in the cloud and on a mobile app
Work full stack across mobile app, cloud services to deliver ML-backed features for customers
Identify, invent and follow best practices for deploying ML to the cloud and app
Translate ambiguous product definition into detailed requirements, and end-to-end technical strategy docs
Define and develop infrastructure to build, release and test updates to underlying ML models in production systems
Lead SCRUM/Agile ceremonies to create and execute consistent and timely delivery
Identify and represent technical risks to the customer experience, or its delivery to senior leaders and stakeholders.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningcloud servicesmobile app developmentfull stack developmentinfrastructure developmentbest practices for ML deploymenttechnical strategy documentationsoftware architecture designtesting updates to ML modelsSCRUM

Soft Skills

leadershipcommunicationproblem-solvingcollaborationcustomer focusadaptabilitycritical thinkingstakeholder managementprocess improvementiterative design