MLOps Engineer - Hourly and Full time (106-05SENG-02)
opsbrasil
- Employment
- Contract
About the role
Cloudary is hiring a Senior ML Engineer with strong data engineering foundations and hands-on MLOps experience for a contract engagement with an international client. You'll own ML pipelines and model serving infrastructure — bridging data and production ML at scale.
5+ years in data engineering (pipelines, warehouses, orchestration)
2+ years of hands-on ML engineering / MLOps in production environments
Strong Python skills and experience with Airflow, Spark, or similar orchestration tools
Solid knowledge of Kubernetes, Docker, and at least one major cloud (AWS, GCP or Azure)
Familiarity with ML tooling: MLflow, W&B, DVC, or equivalent
Available full-time (80h/week), EST-aligned, eligible to contract in Canada (CAD)
Responsabilities
Design and maintain end-to-end ML pipelines from data ingestion to model deployment
Operate model registries, feature stores, and experiment tracking (MLflow, W&B)
Build scalable model serving infrastructure on Kubernetes and cloud platforms
Implement CI/CD workflows for ML models, including testing and rollback strategies
Monitor production models — drift detection, alerting, and retraining pipelines
Collaborate with data scientists and platform engineers to ship ML solutions faster
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