MLOps Engineer - Hourly and Full time (106-05SENG-02)

About This Gig

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. Requirements 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 pla

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