Related skills
docker aws sql prometheus python📋 Description
- Design, build, and maintain scalable ML infra on AWS (Sagemaker).
- Collaborate with product teams to MVP AI features; iterate quickly.
- Develop monitoring and alerting for ML models to ensure reliability.
- Support cross-department AI usage, incl. Generative AI.
- Provide production support; on-call incident resolution.
- Scale ML architecture for rapid growth; apply AWS ML best practices.
🎯 Requirements
- Bachelor’s in CS/CE/ML/Stats/Physics or equivalent.
- 6+ years ML engineering with production deployments.
- Deep ML expertise (recs, pattern recognition, data mining).
- Python required; Golang a plus.
- Leadership; ownership of end-to-end projects.
- Relational databases, data warehouses; SQL proficiency.
- Strong AWS experience for ML deployment and scaling.
- Kubernetes, Docker, and CI/CD for ML deployments.
🎁 Benefits
- Remote-friendly, full-time role.
- Impactful fintech with cross-functional collaboration.
- Grow your skills with a fast-paced team.
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