Senior Machine Learning Operations Engineer at Mercury · Lumi · Lumi

Qualification

Experience operating in a regulatedUS employees (any location)Canadian employees (any location)

Strong backend engineering fundamentals in Python, with API frameworks like FastAPI or Flask
Experience with model deployment and lifecycle tooling: model registries, CI/CD for models, versioning, and staged rollout patterns (shadow, canary, champion/challenger)
Experience building observability and alerting for production services — latency, errors, and ideally model-specific signals like drift
Comfort with the data layer ML depends on: SQL, key-value/low-latency stores (Redis, DynamoDB, or equivalent), and streaming pipelines (Kafka, Kinesis, Redpanda, or equivalent)
Familiarity with a modern data stack (Snowflake, dbt, Dagster, Airflow, or similar)
Experience operating in a regulated, audit-sensitive, or compliance-adjacent environment
Exposure to functional languages or willingness to work across a stack that includes Haskell, React, and TypeScript
US employees (any location): $166,600 - $208,300
Canadian employees (any location): CAD 157,400 - 196,800

The total rewards package at Mercury includes base salary, equity, and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.
Our target new hire base salary ranges for this role are the following:
Mercury values diversity belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

Senior Machine Learning Operations Engineer