Specialist Machine Learning Engineering

EBANX

Curitiba, Brazil
Performance bonus: annual bonus program based on c...
On-site
Experience in mlops or devops roles
Strong cloud platform proficiency aws gcp azure
Proficiency with docker and kubernetes orchestration
EBANX is seeking a Specialist Machine Learning Engineer to join their Data team in Brazil, focusing on designing, developing, and maintaining machine learning systems that drive strategic decisions in digital payments. The ideal candidate will have MLOps experience and strong technical skills, particularly in cloud platforms and machine learning frameworks

Job Summary

  • The role involves designing system architecture to train, retrain, develop, monitor, and serve machine learning models within a global digital payments company.
  • Candidates will collaborate closely with data scientists and software engineers to ensure seamless integration of ML models into production environments.
  • EBANX offers performance bonuses, meal allowances, education assistance, and flexible work culture including an additional birthday day off.

Matching Summary

Match Score: 85

EBANX is seeking a Specialist Machine Learning Engineer to join their Data team in Brazil, focusing on designing, developing, and maintaining machine learning systems that drive strategic decisions in digital payments. The ideal candidate will have MLOps experience and strong technical skills, particularly in cloud platforms and machine learning frameworks.

Salary

Performance Bonus: Annual bonus program based on company results; Meal Allowance: Monthly allowance; Benefits: Health & Well-being programs, Education assistance, Language classes

Skills & Requirements

Must-have

  • Experience in MLOps or DevOps roles
  • Strong cloud platform proficiency AWS GCP Azure
  • Proficiency with Docker and Kubernetes orchestration
  • Strong Python skills for clean code
  • Experience with CI/CD tools Jenkins GitLab GitHub Actions
  • Knowledge of data pipelines ETL streaming batch
  • Understanding of security compliance in payment systems

Nice-to-have

  • Knowledge of Kafka or event streaming platforms
  • Familiarity with financial services or payment systems
  • Experience mentoring team members in best practices

Key Requirements

  • Experience in MLOps DevOps or related roles
  • Strong experience with cloud platforms AWS GCP Azure
  • Proficiency with containerization tools Docker and Kubernetes
  • Strong Python programming skills
  • Experience with CI/CD tools like Jenkins or GitLab CI
  • Knowledge of monitoring solutions Prometheus Grafana Datadog
  • Understanding of security and compliance standards in payments

Work Rights

Not specified

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