MLOps Engineer - Hourly and Full time

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)

• 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