Wise
Finance / FinServ
LeadMLEngineer/Scientist
Neural analysis suggests this role is
optimal for mid candidates.
“Lead ML Engineer / Scientist at Wise. Skills: Machine Learning, Data Science, MLOps, Data Engineering, Software Engineering. removing bottlenecks from Data Science workflows. providing ML tooling for experiments”
What You'll Achieve.
scale and advance the impact of Data Science in Servicing tribe; build an entirely new network for the world's money; make their lives easier and save them money
Industry & Context.
removing bottlenecks from Data Science workflows
What They're Looking For.
Must Have
Software engineering: e. g. testing + CI/CD, monitoring/alerting + disaster recovery, MLOps: Terraform and AWS infra, ML governance for hundreds of models, Data Engineering: distributed processing at terabyte scale, Science: prove value of new methodologies / algorithms applied to cross-team domains, estimate and measure impact, mentor junior members in experiment design
Nice to Have
ML Label Platform development, evolution of ML experimentation tooling and label quality
What You'll Do.
removing bottlenecks from Data Science workflows
providing ML tooling for experiments
developing Wise’s ML Label Platform
driving high priority projects from proof-of-concept to MVP
own the evolution of ML experimentation tooling and label quality
conduct presentations
maintaining good documentation and progress updates
drive impactful proof-of-concepts of new methodologies and tooling
How You'll Work.
Team & Collaboration
co-own stakeholder management, roadmap, delivery and onboarding; bridge a gap for two or more teams in Servicing tribe
Communication Scope
presentations; demos; workshops; progress updates
Process & Methodology
roadmap, delivery
Full Job Description
Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about [our mission](https://wise.jobs/our-mission) and [what we offer](https://wise.jobs/what-we-offer). We’re looking for a Senior Machine Learning Engineer to join our growing Servicing Machine Learning and Data Engineering Team in Tallinn or Budapest. This role is a unique opportunity to scale and advance the impact of Data Science in Servicing tribe – namely Fincrime, KYC and Customer Support squads. What you build will have a direct impact on [Wise’s mission](https://www.transferwise.jobs/what-we-do/) and millions of our customers. Our team is responsible for 1) removing bottlenecks from Data Science workflows, 2) providing ML tooling for experiments, 3) developing Wise’s ML Label Platform. Moreover, we are responsible for driving high priority projects from proof-of-concept to MVP, to service / tooling. We are looking for someone to own the evolution of ML experimentation tooling and label quality – at first for Fincrime teams, then for other squads in Servicing. You will co-own stakeholder management, roadmap, delivery and onboarding. You’re also expected to conduct presentations, demos and workshops, in addition to maintaining good documentation and progress updates for your projects. Additionally, you will have the freedom to drive impactful proof-of-concepts of new methodologies and tooling that bridge a gap for two or more teams in Servicing tribe. Here’s how you’ll be contributing: * Software engineering: e.g. testing + CI/CD, monitoring/alerting + disaster recovery * MLOps: Terraform and AWS infra, ML
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