Remote MLOps Lead: Scale ML in AWS & CI/CD

Fugetec; Chicago (IL); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Fugetec in Chicago, IL (Remote) is seeking a Lead Machine Learning Operations Engineer to lead and optimize ML workloads, focusing on scalable, reliable development and deployment.

You will collaborate with data scientists, implement automated ML workflows, design CI/CD pipelines for models, and ensure robust serving, monitoring, and performance.

The role requires 10+ years of experience, strong Python/Go skills, and deep knowledge of AWS, Docker, Kubernetes, and ML frameworks.

Qualifications

• Bachelor’s/Master’s in Computer Science or related field.
• 3+ years in MLOps or DevOps.
• Strong Python/Go skills, CI/CD experience, and AWS proficiency.
• Knowledge of Docker, Kubernetes, AWS CDK, and CloudFormation.

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

CI/CD

Python

Go

TensorFlow

PyTorch

AWS proficiency

Education

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

Tools

Docker

Kubernetes

AWS CDK

CloudFormation

Job description

Fugetec in Chicago, IL (Remote) is seeking a Lead Machine Learning Operations Engineer to lead and optimize ML workloads, focusing on scalable, reliable development and deployment.

You will collaborate with data scientists, implement automated ML workflows, design CI/CD pipelines for models, and ensure robust serving, monitoring, and performance.

The role requires 10+ years of experience, strong Python/Go skills, and deep knowledge of AWS, Docker, Kubernetes, and ML frameworks.