Senior MLOps Engineer - Real-Time ML Infra & Risk

remote work; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Relocation support

Flexible work

Healthcare coverage

Education budget

Wellness budget

Vacation policy

Job summary

Remote Work in the United States is seeking a Senior MLOps Engineer to join the Risk team. The Riskteam focuses on automated IT solutions in risk management, building models and real-time inference with SLA.

You will build ML infrastructure from scratch, from automated training pipelines to a unified feature platform serving both research and production inference. You will evaluate feature stores, select platforms, and establish versioning and validation standards across the ML lifecycle.

Qualifications

• 3+ years of experience in ML Engineering, Data Engineering, or DevOps in production ML systems.
• Experience with MLflow, W&B, or similar for experiment tracking.
• Strong Python skills and knowledge of ML frameworks for packaging and serving.
• Understanding feature store concepts and train-serve consistency.

Responsibilities

• Build ML training pipelines and deployment workflows.
• Design feature store lifecycle from experiment to production.
• Implement CI/CD, model registry, and serving pipelines.

Skills

ML Engineering

Data Engineering

Python

Docker

Kubeflow

Argo Workflows

MLflow

SQL

Feature stores

English (B1+)

Tools

MLflow

Weights & Biases

Kubeflow

Job description

Remote Work in the United States is seeking a Senior MLOps Engineer to join the Risk team. The Riskteam focuses on automated IT solutions in risk management, building models and real-time inference with SLA.

You will build ML infrastructure from scratch, from automated training pipelines to a unified feature platform serving both research and production inference. You will evaluate feature stores, select platforms, and establish versioning and validation standards across the ML lifecycle.