Machine Learning Ops Engineer
Thunes(15 days ago)
About this role
An MLOps Engineer at Thunes builds and maintains the platform that enables Data Science and AI teams to deploy models reliably across a global payments network. The role sits at the intersection of AI engineering and production infrastructure, ensuring the ML stack is robust, scalable, cost-aware and secure to support real-time cross-border payments.
Required Skills
- MLOps
- Terraform
- Airflow
- DataOps
- CI/CD
- Monitoring
- Cost Optimisation
- IAM
- Observability
- Docker
+5 more
Qualifications
- Bachelor's Degree in Computer Science
- Google Professional Machine Learning Engineer
- AWS Certified Machine Learning - Specialty
- DevOps Engineer - Professional
About Thunes
thunes.comThunes is a cross-border payments infrastructure company that enables businesses, platforms and financial institutions to send and receive money globally. It offers APIs and managed services for real-time cross-border transfers, mass payouts, wallet cash-outs and account-to-account settlements through a network of local bank, mobile‑money and payout partners. Thunes handles connectivity, liquidity, FX and compliance to simplify international payments into emerging and developed markets. Companies choose Thunes for its global reach, developer-friendly integrations and focus on fast, lower-cost cross-border settlement.