Related skills
golang docker aws prometheus python📋 Description
- Design, build, maintain scalable ML infra on AWS (Sagemaker)
- Collaborate with product teams to MVP AI features
- Develop monitoring and alerting for ML models
- Enable cross-departmental AI usage, incl. Generative AI
- Provide production support; on-call rotations for ML issues
- Scale ML architecture to support rapid user growth on AWS
🎯 Requirements
- Bachelor's degree in CS/Engineering/ML or related field, or equivalent
- 6+ years in ML engineering; deployed scalable models in production
- Deep expertise in ML, recommender systems, or related fields
- Python required; Golang a plus
- Strong technical leadership; end-to-end project ownership
- Experience with relational DBs, data warehouses, SQL
- AWS cloud services for deploying and scaling ML solutions
- Kubernetes, Docker, CI/CD for ML deployment
🎁 Benefits
- Remote-friendly culture (Li-Remote)
- Work on fintech/retail AI shaping customer experiences
- Dynamic, growth-focused culture with mentoring
- Mission-driven company empowering merchants and consumers
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