About the job
For over two decades, Smartsheet has empowered individuals and teams to accomplish remarkable feats. From efficient work management to innovative, scalable solutions, we have consistently embraced the flow of progress. We are developing tools that enable teams to automate repetitive tasks, extract meaningful insights, and scale operations intelligently. More importantly, we are fostering an environment where big ideas can flourish, decisive actions can be taken, and impactful work can be realized. When challenges meet purpose and passion fuels progress, that’s when the magic happens—and that’s our everyday commitment.
We are seeking a Senior Machine Learning Operations Engineer to architect and oversee the machine learning production lifecycle. Your primary responsibility will be to deploy and maintain ML models within a scalable, reliable, and secure production environment. You will design and uphold the infrastructure, automation, and monitoring systems that ensure our AI products perform optimally and are cost-effective.
You will report to the Director of Analytics Engineering & Data Governance based in our Bellevue, WA office but can work remotely from any location in the US where Smartsheet is registered as an employer.
Your Responsibilities Will Include:
Model and Pipeline Automation
- Automate the deployment and retraining of ML models, managing complete CI/CD/CT (Continuous Training) pipelines in accordance with MLOps best practices.
- Build, fine-tune, or utilize pre-trained LLMs, deep learning models, or traditional machine learning models.
- Evaluate and recommend AI or ML solutions for our products using a mix of vendor solutions and custom-built models.
Governance & Compliance
- Implement model versioning, lineage tracking, and auditing to ensure compliance with security and ethical standards.
Performance Monitoring
- Continuously monitor the health and performance of production machine learning models, proactively identifying and rectifying model drift, staleness, and performance degradation.
- Incorporate user feedback for ongoing improvements and manage necessary model retraining cycles.
Cross-Functional Collaboration
- Act as a crucial link between Data Scientists who create models and Software Engineers who implement them.
- Collaborate effectively with software engineers, product managers, and business functions to integrate machine learning solutions across Smartsheet.