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

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. Requirements5+ years in data engineering (pipelines, warehouses, orchestration)2+ years of hands-on ML engineering / MLOps in production environmentsStrong Python skills and experience with Airflow, Spark, or similar orchestration toolsSolid knowledge of Kubernetes, Docker, and at least one major cloud (AWS, GCP or Azure)Familiarity with ML tooling: MLflow, W&B, DVC, or equivalentAvailable full-time (80h/week), EST-aligned, eligible to contract in Canada (CAD)ResponsabilitiesDesign and maintain end-to-end ML pipelines from data ingestion to model deploymentOperate model registries, feature stores, and experiment tracking (MLflow, W&B)Build scalable model serving infrastructure on Kubernetes and cloud platformsImplement CI/CD workflows for ML models, including testing and rollback strategiesMonitor production models — drift detection, alerting, and retraining pipelinesCollaborate with data scientists and platform engineers to ship ML solutions fasterHighlightsFull-time contractor, 80h/week, paid hourly in USD, remote in EST.Originally posted on Himalayas