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.

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 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

Highlights

Full-time contractor, 80h/week, paid hourly in USD, remote in EST.

Originally posted on Himalayas