Machine Learning Specialist
emagine
This is a production ML engineering role embedded in a payments team, focused on maintaining and optimizing ML models that handle payment routing, token optimization, and retry strategies for subscription metrics. You will retrain and recalibrate existing models, implement model-driven decisioning, and explore new ML approaches to transaction handling. It's an applied engineering role, not research.
Brak jawnych widełek — wynagrodzenie do ustalenia podczas rekrutacji.
Brakuje: team size and composition, client name/industry.
This is a production ML engineering role embedded in a payments team, focused on maintaining and optimizing ML models that handle payment routing, token optimization, and retry strategies for subscription metrics. You will retrain and recalibrate existing models, implement model-driven decisioning, and explore new ML approaches to transaction handling. It's an applied engineering role, not research.
- ✓Fully remote work
- ✓Interesting domain: ML applied to payment routing and subscription metrics
- −Short fixed-term contract (6 months) with unclear extension possibilities
- −Mentions 'Hendrix' – unclear if it's a typo or proprietary tool, could indicate a niche stack
- −Requires presence in Sweden (even though remote) – potential geographical restriction
- !No details about team size or client
- !No information about on-call or support duties
- !'Collaboration' listed as a key requirement but no specifics
- ?Brak jawnych widełek — wynagrodzenie do ustalenia podczas rekrutacji
- •Retraining and recalibrating ML routing models on a regular basis
- •Implementing model-driven decisions based on decline reasons to improve ML chaining
- •Optimizing ML network token efficacy and retry strategies
- •Expanding the ML action space with novel approaches to transaction handling
- •Collaborating with the payments team on joint retry and routing optimization
- •Using TensorFlow and Kubeflow for model development and deployment
- •Conducting exploratory data analysis to inform model improvements
- •Deploying models to production and monitoring performance
Oferta dla doświadczonych specjalistów (Senior).
A mid-level ML engineer (3+ years) with hands-on experience in model retraining and deployment, proficient in TensorFlow and Kubeflow, and able to contribute to collaborative optimization initiatives.
Not for juniors or data scientists without strong engineering skills. Also not for those seeking long-term employment or unable to work remotely from Sweden.
- ?How large is the Gyro/Payments pod team?
- ?Is there an option to extend beyond December 2026?
- ?What does 'Hendrix' refer to? Is it a tool or framework?
- ?Is there an on-call rotation or after-hours support?
- ?What is the exact deployment frequency and CI/CD setup?
- ?What monitoring and observability tools are used for ML models?
- ?Will I be working directly with the client or through emagine project management?
- −Team size and composition
- −Client name/industry
- −Recruitment process (stages, timeline)
- −Benefits or perks (since contract type is other)
- −On-call or support expectations