Sr. ML Ops Engineer, Forward-Deployed

San Francisco, CAFull-time$191k–$261k2026-10-27 → 2026-11-10

Core

Build production systems, APIs, and UI workflows for customer-tailored predictive models, including training, validation, monitoring, and deployment.

Role type

Senior MLOps Engineer (Forward-Deployed)

Builds

Production ML pipelines, model dashboards, and customer-facing operational tools

Domain

B2B SaaS, Predictive Modeling, Data Science

Deliverable

production ML models

Required skills

Python, SQL, Kubernetes, Cloud Infrastructure, CI/CD, API Development, Data Pipelines, Observability, Model Monitoring

Preferred skills

FastAPI, Frontend, Airflow, Spark, MLflow, Feature Pipelines, AWS, S3, Hive, Multi-tenant SaaS

Technologies

Kubernetes, AWS, S3, Hive, Airflow, Spark, MLflow

Responsibilities

Productionize customer-tailored predictive models and scoring workflows; Build and improve UI workflows for training triggers and model status; Enhance model dashboards for health and data quality visibility; Automate retraining, validation, and deployment workflows; Monitor models for drift and operational regressions; Convert customer solutions into reusable platform capabilities.

Seniority

Senior, hands-on IC

About 6sense

Series E1000 Employees

6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected].