Senior MLOps Engineer - AWS SageMaker & PySpark

Our client an international consultancy are currently seeking an experienced MLOps Engineer to join them on a contract basis (full time, 8 hours per day, 5 days a week).

Key Skills:

• Own the end-to-end MLOps lifecycle – Build and maintain production-grade ML platforms using AWS SageMaker, CI/CD/CT pipelines, feature stores, experiment tracking, model registries, and Infrastructure as Code, ensuring scalable and reproducible ML deployments
• Strong Data Engineering focus with PySpark – Develop and optimize large-scale Apache Spark/PySpark data pipelines for ingestion, transformation, and analytics, with an emphasis on performance, data quality, and low-latency ML inferenc
• Bridge Data Science and Production – Partner closely with Data Scientists to take models from notebooks into production, applying ML best practices around model deployment, monitoring, drift detection, governance, and operationalization in an Agile environment.

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Contract Details:

• Contract length 3-6 Months with high likelihood of extension
• Paying up to 140 PLN per/hour
• Fully remote