Senior ML Ops Engineer - Real-Time Production

Early Warning; Chicago (IL); Hybrid; USD 118,000 - 169,000; Full time

Benefits offered by this job

Healthcare Coverage

401(k) Retirement Plan

Paid Time Off

Paid Parental Leave

Job summary

Early Warning is seeking a Sr. ML Ops Engineer based in Chicago, IL to design and maintain scalable ML infrastructure and pipelines for model training and deployment. This role involves collaborating with Data Science and engineering teams to optimize processes and ensure efficient model management. The ideal candidate will have a Bachelor's degree in Computer Science and at least five years of experience in ML Ops or Data Science, with strong skills in Python and AWS services. Competitive salary of $118,000 - $169,000, depending on experience.

Qualifications

• Minimum 5 years’ experience in Data Science, ML Engineering or ML Ops capacity.
• Experience deploying models with MLOps tools.
• Proven experience delivering real-time models in production environments.

Responsibilities

• Designs, builds, and maintains ML infrastructure and pipelines.
• Optimizes orchestration processes for efficient deployment.
• Creates monitoring systems to measure model performance.

Skills

Python

Machine Learning

Data Science

AWS services

Docker

Kubernetes

CI/CD practices

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

MLflow

Kubeflow

Job description

Early Warning is seeking a Sr. ML Ops Engineer based in Chicago, IL to design and maintain scalable ML infrastructure and pipelines for model training and deployment. This role involves collaborating with Data Science and engineering teams to optimize processes and ensure efficient model management. The ideal candidate will have a Bachelor's degree in Computer Science and at least five years of experience in ML Ops or Data Science, with strong skills in Python and AWS services. Competitive salary of $118,000 - $169,000, depending on experience.