Senior ML Ops Engineer | Hybrid + Equity | AI Powered Outage Intelligence SaaS Startup

As a Senior MLOps Engineer you will have a high level of ownership over the platform the machine learning team builds on spanning model training experimentation deployment monitoring and the data infrastructure supporting production ML.

You must have firsthand experience building an ML platform from the ground up or taking an existing platform through significant scaling and continuing to operate it as it matured.

Responsibilities include:

• Own and extend the ML platform end to end including training orchestration experiment tracking model registry deployment and production monitoring.
• Build and operate data pipelines supporting model training and online inference.
• Design processes for backfills replays and recovery when upstream data feeds fail.
• Ensure training data accurately reflects what was known at the point in time it represents.
• Build and manage reliable processes for moving trained models into production.
• Ensure model training runs and results are reproducible.
• Monitor deployed model performance over time including models where outcomes are confirmed later.
• Manage training and inference costs as data volume and the number of production models grow.
• Contribute to technical architecture design and reviews.

Qualifications :

• 4 years of professional software engineering or data engineering experience.
• 2 years building and operating machine learning systems in production.
• Hands on experience building an ML platform from the ground up or significantly scaling an existing ML platform.
• Experience continuing to own and operate ML infrastructure as it matured.
• Experience supporting multiple production models with complex training workloads.
• Experience building and maintaining production data pipelines at scale including managing their operating costs.
• Experience working with multiple external data sources that behave differently and may arrive inconsistently.
• Working knowledge of machine learning modeling and evaluation with enough depth to review and challenge the work of ML engineers.
• Entrepreneurial mindset and interest in working within a fast moving startup environment.

Preferred Experience

• Advanced proficiency with Python 3 in mature production environments Kubernetes PostgreSQL.
• Experiment tracking model registry and model serving frameworks.
• Workflow orchestration.
• Infrastructure as code tooling.
• Geospatial or time series systems.
• Large real time data flows.
• Experience working for a data intelligence company.
• Bachelors degree in Computer Science or a related field.

Additional Information :

About SaaS Talent

SaaS Talent is more than just a recruiting company. Were your hiring business development and growth partner with 20 years of experience in SaaS and Hi-Tech that helps you scale and transform your business. Weve worked with 100 companies and helped them achieve their goals. From streamlining sales marketing and operations to hiring ideal talent and getting funding if youre struggling to grow were an ideal choice.

Reach out to us at  to learn more about how we can help you.

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No

Employment Type :

Full-time