Mlops Engineer I

Checkout

Hybrid (3 days in-office per week)
Production-ready python code
Production ml models
Monitoring and observability
Checkout.com is seeking an ML Ops Engineer I to join their ML Platform team, focusing on developing scalable systems for real-time fraud detection and payment optimization. The role emphasizes strong ownership, productionizing machine learning models, and iterative problem-solving within a fast-paced fintech environment

Job Summary

  • Build systems for training, deploying and monitoring machine learning models used in our payments platform, at scale.
  • Scale our feature store to more and increasingly complex use-cases both online and offline.
  • Deliver end to end features with full ownership under mentorship of talented engineers.

Matching Summary

Match Score: 85

Checkout.com is seeking an ML Ops Engineer I to join their ML Platform team, focusing on developing scalable systems for real-time fraud detection and payment optimization. The role emphasizes strong ownership, productionizing machine learning models, and iterative problem-solving within a fast-paced fintech environment.

Skills & Requirements

Must-have

  • production-ready Python code
  • production ML models
  • monitoring and observability
  • AWS cloud development
  • ML frameworks and technologies

Nice-to-have

  • strong ownership
  • pragmatic approach
  • growth mindset
  • curiosity to tackle problems
  • collaboration across teams

Key Requirements

  • Proficiency in writing clear, production-ready Python code
  • Familiarity with production ML models
  • Familiarity with monitoring and observability
  • Familiarity in Cloud-based application development (AWS)
  • Familiarity with ML frameworks and technologies

Work Rights

Not specified

Tailored Resume

Cover Letter