Related skills
docker aws sql python kubernetes📋 Description
- Design, build, and maintain scalable ML infrastructure on AWS
- Lead ML for recommendations, fraud, and credit risk
- Drive MLOps to automate ML model lifecycles
- Collaborate with product teams on MVP AI features
- Develop monitoring and alerting for ML models
- Mentor teammates and advance team capabilities
🎯 Requirements
- Bachelor's degree in CS/CE/ML/Stats or equivalent
- 6+ years ML engineering, production deployments
- Python required; Golang a plus
- Strong leadership; end-to-end project ownership
- SQL and data warehouses experience
- AWS ML deployment and scalable architectures
🎁 Benefits
- Remote-friendly culture with distributed teams
- Career growth and mentorship opportunities
- Impact-driven fintech with fast-paced environment
- Collaborative and inclusive team culture
- Flexible work arrangements and learning resources
- Focus on meaningful work and learning
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!