Senior Machine Learning Engineer - Servicing
Senior Machine Learning Engineer - Servicing
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Job Description
Lead Machine Learning Engineer - Servicing and Data Engineering
Were looking for a Lead Machine Learning Engineer to join our growing Servicing ML and Data Engineering Team in Tallinn (or Budapest Tallinn preferred).
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 Wises mission and millions of our customers.
About the Role:
Our team is responsible for:
1) removing bottlenecks from Data Science workflows
2) providing ML tooling for experiments and pipelines
3) developing Wises Feature Platform.
Moreover we are responsible for driving high priority projects from proof-of-concept to MVP to service / tooling in order to unlock cross-team impact.
We are looking for someone to own the evolution of ML experimentation tooling and model retraining pipelines at first for Fincrime teams then for other squads in Servicing. You will co-own stakeholder management roadmap delivery and onboarding. Youre also expected to conduct presentations demos and workshops in addition to maintaining good documentation and progress updates for their 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.
Heres how youll be contributing:
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
Additional Information :
For everyone everywhere. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.
Were proud to have a truly international team and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what its like to work at Wise visit .
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
