Senior MLOps Engineer: Scale ML on AWS with CI/CD - Remote

Fuge Technologies Inc; Chicago (IL); On-site; USD 150,000 - 195,000; Full time

Job summary

Fuge Technologies Inc in Chicago, IL (Remote) seeks a Lead Machine Learning Operations Engineer (MLOps) to lead and optimize ML workloads, focusing on infrastructure for scalable, reliable ML development and deployment. This full-time role requires 10+ years of experience with MLOps and AWS.

You will collaborate with data scientists, automate workflows, and contribute to model serving, versioning, and monitoring while staying current with MLOps tools and practices.

Qualifications

• 10+ years of professional experience in ML or related field.
• Bachelor’s or Master’s in Computer Science or a related field.
• Experience architecting and deploying scalable ML solutions in AWS.
• Experience designing CI/CD pipelines for ML workflows.
• Familiarity with model serving, versioning, and monitoring.

Responsibilities

• Architect and deploy scalable ML solutions in AWS.
• Design CI/CD pipelines for ML workflows.
• Collaborate on model serving, versioning, and monitoring.
• Automate tasks to improve workflow efficiency.
• Stay updated on MLOps tools and practices.

Skills

MLOps

AWS ML Specialty

Python

Go

CI/CD

TensorFlow

PyTorch

MLflow

TensorFlow Serving

Education

Bachelor’s/Master’s in Computer Science or related field

Tools

Docker

Kubernetes

AWS CDK

CloudFormation

Job description

Fuge Technologies Inc in Chicago, IL (Remote) seeks a Lead Machine Learning Operations Engineer (MLOps) to lead and optimize ML workloads, focusing on infrastructure for scalable, reliable ML development and deployment. This full-time role requires 10+ years of experience with MLOps and AWS.

You will collaborate with data scientists, automate workflows, and contribute to model serving, versioning, and monitoring while staying current with MLOps tools and practices.