Machine Learning Engineering Specialist na EBANX

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

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