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Description:
- Seeking a Senior MLOps Engineer to manage production ML operations and build pipelines for model deployment.
- Responsible for the low-latency serving API for the Next Best Action (NBA) engine and ensuring model reliability in production.
Requirements:
- 8+ years in software, data, or ML engineering; 4-5+ years in production ML systems.
- Proficient in Python and comfortable with TypeScript; experience with CI/CD and infrastructure as code (Terraform).
- Strong monitoring and observability skills; experience with low-latency production APIs.
- Familiarity with AWS, Docker, security governance, and ML concepts.
- Experience with Databricks and PySpark is a plus.
Benefits:
- Remote work flexibility and paid time off (20 PTO days + national holidays).
- Stock options and budget for home office setup and work-related trips.
- Biannual off-site team bonding events.
Job title
Job type
Experience level
Required experience
8 years
Salary
-
Degree requirement
No degree requiredSkills
Location requirements
Benefits
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