Related skills
golang aws sql python kubernetes📋 Description
- Design, build, and maintain scalable ML infra on AWS for training and deployment.
- Develop ML solutions for recommendations, fraud detection, and credit risk.
- Lead MLOps across the full model lifecycle to automate workflows.
- Collaborate with product teams to MVP AI features for rapid market testing.
- Provide production support and on-call troubleshooting for ML models.
- Scale ML architecture to support user growth and cost efficiency.
🎯 Requirements
- Bachelor's degree in CS/CE/ML/Stats/Physics or related field.
- 6+ years of ML engineering experience in production.
- Python proficiency; Golang a plus.
- Strong AWS expertise and ML deployment experience.
- Kubernetes, Docker, and CI/CD for ML deployments.
- SQL, data warehouses, and relational databases knowledge.
- Monitoring/observability with Prometheus, Grafana, CloudWatch.
🎁 Benefits
- Remote-friendly LATAM culture with strong collaboration.
- Work on Generative AI and scalable ML in fintech.
- Growth opportunities and leadership development.
- Impactful AI features powering Sezzle's marketplace.
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!