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.
Machine Learning Engineering Specialist at EBANX
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
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