MLOps and Data Engineer

This range is provided by Presage Technologies. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$135,000.00 / yr - $165,000.00 / yr

WHO WE ARE

At Presage Technologies, we believe in improving the quality of healthcare while also making it more affordable and accessible. Over 90% of the world's population has access to a device that can power our software, but less than half have access to basic health services. We are aiming to close that gap by developing cutting-edge artificial intelligence and video analytics to transform consumer electronics and mobile phone consumer apps into sophisticated health sensing platforms.

WHAT YOU'LL DO

We are seeking an MLOps & Data Engineer to lead the design, deployment, and governance of our machine learning infrastructure and data strategy. You'll have end-to-end ownership of our ML pipelines, from data acquisition and preprocessing to model validation and deployment, ensuring our AI systems are robust, scalable, and compliant.

KEY RESPONSIBILITIES :

• Architect, deploy, and manage ML infrastructure for large-scale distributed training and inference.
• Develop, standardize, and maintain CI / CD and verification / validation (V&V) pipelines for both research and production environments.
• Implement and manage MLFlow (or equivalent) for model tracking, experiment reproducibility, and deployment lineage.
• Own the governance, quality, and security of Presage's proprietary health datasets, ensuring they are optimized for both research and production needs.
• Introduce and maintain data lake / versioned storage technologies (e.g., Iceberg, Delta, lakeFS) to ensure reproducibility and auditability of datasets.
• Own orchestration layer (Dagster / Airflow) to schedule, monitor, and retry ML pipelines.
• Enforce infrastructure-as-code, monitoring, alerting, and cost controls specific to ML workloads.
• Collaborate with the CTO and Machine Learning Scientists to identify and drive development of high-value algorithms that align with company strategy and product goals.
• Define and enforce data validation, drift detection, and model performance monitoring standards.
• Drive compliance-readiness : secure storage, audit trails, access controls aligned with healthcare regulations.

This is a hybrid role based in St. Louis, Missouri with the expectation that you will also travel for quarterly meetings in the United States. You will report directly to the Chief Technology Officer.

WHO YOU ARE

You are an ambitious, self-driven, and technically strong individual. You enjoy teamwork, innovation, and the fast-paced environment of a startup. To succeed within this role, you have the following qualifications :

If you're passionate about solving real-world problems with AI and want to help shape the future of healthcare, we'd love to hear from you.

Salary Range

$135,000 - $165,000

Details

Ongoing job-related notices : This description was provided for informational purposes only and does not constitute a contract of employment.

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