Trab
PreçosBlog

Machine Learning Engineering Specialist na EBANX

Candidatar-se

At EBANX, a unicorn‑status fintech AI‑powered company, we need a Machine Learning Engineering Specialist to own design, deployment, and monitoring of scalable machine learning systems, collaborating with data scientists and software engineers.

Requirements

Experience

  • Experience in MLOps, DevOps, or related roles
  • Strong experience with cloud platforms (AWS, GCP, Azure)
  • Proficiency in containerization tools like Docker and orchestration systems (e.g., Kubernetes)
  • Familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Strong Python skills with experience in writing clean, efficient, and maintainable code
  • Experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions)
  • Knowledge of data pipelines and ETL processes (streaming and batch)
  • Experience in monitoring, logging, and alerting solutions for ML services (e.g., Prometheus, Grafana, DataDog)
  • Understanding of security and compliance standards in payment systems

Skills

  • MLOps
  • DevOps
  • Cloud platforms
  • Containerization
  • Orchestration
  • ML frameworks
  • Python
  • CI/CD
  • Data pipelines
  • ETL
  • Monitoring
  • Logging
  • Alerting
  • Security and compliance

Responsibilities

  • Owning the design of system architecture to train, retrain, develop, monitor, and expose machine learning models
  • Design, develop, and maintain scalable infrastructure for ML pipelines and APIs
  • Implement and manage CI/CD pipelines for ML model deployment, updates, and continuous monitoring
  • Collaborate closely with data scientists, software engineers, and cross‑functional teams to ensure seamless integration of ML models into production
  • Ensure compliance with security and privacy requirements, particularly in a financial context
  • Troubleshoot and optimize ML production systems, ensuring performance, reliability, and scalability
  • Share knowledge, mentor, and support team members in best practices for MLOps, API development, and productionization of machine learning models

Technologies

AWSGCPAzureDockerKubernetesTensorFlowPyTorchScikit-learnPythonJenkinsGitLab CIGitHub ActionsPrometheusGrafanaDataDogKafkaETLData pipelinesStreamingBatch

Descubra se seu currículo está pronto para esta vaga

Veja como nossa IA pode otimizar seu currículo e aumentar suas chances de conseguir esta posição.

© 2026 Trab. Todos os direitos reservados.