Senior Machine Learning Engineer Scientist Servicing Platform
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Job Location:
Monthly Salary:
Posted on:
4 days ago
Vacancies:
1 Vacancy
Job Summary
Were 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 Wises mission 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 Wises 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. Youre 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.
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
Qualifications :
A bit about you:
Extensive experience with end-to-end distributed data systems specially ML-centric ones;
Previous experience as Data Scientist in large scale product team / business;
Excellent Python and Software Engineering knowledge. Ability to work with Java if needed. Demonstrable experience collaborating with engineers on services.;
Strong drive to solve problems for Data Scientists with the ability to work independently in a cross-functional and cross-team environment;
Good communication skills ability to get the point across to non-technical individuals and back it up with data (and statistical analysis) to engage and manage project stakeholders;
Strong problem solving skills with the ability to help refine problem statements and propose solutions taking effort-impact-scalability tradeoff into account.
Some skills that will make you stand out:
Apache Spark Airflow Iceberg Kafka dbt
Scikit-Learn XGBoost MLFlow Ray PyTorch Graph-tool (or similar)
AWS (S3 EMR SageMaker Lakeformation) Terraform Docker GitHub CI/CD
Knowledge Graphs ( RAG) graph ML probabilistic programming A/B testing
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
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
About Company
Wise is a global technology company, building the best way to move money around the world. With the Wise account people and businesses can hold 40+ currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new cro ... View more
