Senior MLOps Engineer — Productionize and Monitor Models

6sense; San Francisco (CA); On-site; USD 191,000 - 261,000; Full time

Benefits offered by this job

Health insurance

401K + matching

Paid time off

Job summary

6sense is seeking a Senior MLOps Engineer in the United States to own model training, refresh workflows, APIs, orchestration, data pipelines, production monitoring, and customer-facing dashboards.

You’ll join the first MLOps engineer in the US, collaborating with the India team to deliver production-ready models quickly. Strong Python/SQL, Kubernetes, and cloud experience are required for this critical production role.

Qualifications

• Experience owning machine-learning systems in production (training, deployment, monitoring).
• Strong Python and SQL skills, including APIs, backend services, CI/CD and observability.
• Experience building internal tools, dashboards, or customer-facing workflows.

Responsibilities

• Productionize customer-tailored predictive models with validation, release, monitoring, and rollback paths.
• Build and improve UI workflows for training triggers, model refreshes, validation results, and status dashboards.

Skills

Python

SQL

Kubernetes

AWS

Airflow

Spark

MLflow

Front-end (UI)

FastAPI

Front-end experience

Tools

Kubernetes

AWS

S3

Hive

Distributed compute

MLflow

Airflow

Job description

6sense is seeking a Senior MLOps Engineer in the United States to own model training, refresh workflows, APIs, orchestration, data pipelines, production monitoring, and customer-facing dashboards.

You’ll join the first MLOps engineer in the US, collaborating with the India team to deliver production-ready models quickly. Strong Python/SQL, Kubernetes, and cloud experience are required for this critical production role.