Senior MLOps Engineer — Forward-Deployed (US)

6sense; United States; Remoto; USD 191.000 - 261.000; Tempo pieno

Descrizione del lavoro

6sense is seeking a Senior MLOps Engineer in the United States to own production ML systems, from training to deployment and monitoring. You’ll build scalable workflows, dashboards, and APIs, working with the India team to deliver customer-ready models quickly.

You will join Forward Deployed Engineering, contributing to a predictive data science platform, with emphasis on reliability, automation, and multi-tenant SaaS readiness. Strong Python/SQL skills and cloud experience are essential.

Competenze

• 6+ years of experience in MLOps, ML platform engineering, backend engineering, full-stack engineering, or related production engineering roles.
• Experience owning machine-learning systems in production, including training, deployment, monitoring, retraining, and incident response.
• Strong Python and SQL skills, including APIs, backend services, asynchronous workflows, testing, CI/CD, and observability.
• Experience building or contributing to internal tools, operational dashboards, or customer-facing product workflows.
• Comfortable debugging across the stack: UI, APIs, workflows, data pipelines, model artifacts, and production infrastructure.
• Experience releasing changes safely across multiple customers or production environments, including staged rollout and rollback.
• Working knowledge of Kubernetes and cloud infrastructure.
• Strong communication and judgment balancing customer urgency, usability, reliability, and long-term maintainability.
• Nice to have: FastAPI and Frontend experience.
• Airflow, Spark, MLflow, model registries, feature pipelines, or workflow orchestration.
• AWS, S3, Hive, distributed compute, and multi-tenant SaaS experience.
• Forward-deployed, consulting, solutions, implementation, or customer-facing engineering experience.
• B2B SaaS, go-to-market data, or predictive modeling experience.

Mansioni

• Productionize customer-tailored predictive models, configurations, and scoring workflows with validation, release, monitoring, and rollback paths.
• Build and improve UI workflows for training triggers, model refreshes, validation outcomes, model status, and operational troubleshooting.
• Enhance model dashboards that make model health, score changes, data quality, refresh status, and production issues understandable to internal users and customers.
• Build or modify the APIs, backend services, data contracts, and orchestration workflows behind those experiences.
• Automate model retraining, validation, promotion, and deployment workflows for customer engagements.
• Create safeguards for data quality, score distributions, threshold changes, and edge cases before model changes reach production.
• Monitor models and services for drift, data shifts, reliability issues, and operational regressions.

Conoscenze

MLOps

Python

SQL

APIs

UI workflows

Kubernetes

CI/CD

Monitoring

Data pipelines

Model dashboards

Cloud

Strumenti

FastAPI

Frontend

Airflow

MLflow

Spark

Hive

Descrizione del lavoro

6sense is seeking a Senior MLOps Engineer in the United States to own production ML systems, from training to deployment and monitoring. You’ll build scalable workflows, dashboards, and APIs, working with the India team to deliver customer-ready models quickly.

You will join Forward Deployed Engineering, contributing to a predictive data science platform, with emphasis on reliability, automation, and multi-tenant SaaS readiness. Strong Python/SQL skills and cloud experience are essential.