IT Services - Lead Machine Learning Operations Engineer (MLOps)
Fuge Technologies Inc
hybridleadpermanentdevopsbackend Chicago, IL 75 days ago via LinkedIn
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MLOpsAWSCI/CDPythonGoTensorFlowPyTorchDockerKubernetesAWS CloudFormation
About the role
Role Overview
Lead Machine Learning Operations Engineer (MLOps) to architect and optimize ML workloads, focusing on infrastructure for scalable, reliable ML development and deployment in AWS.
Responsibilities
- Architect and deploy scalable ML solutions on AWS
- Design CI/CD pipelines for ML workflows
- Collaborate on model serving, versioning, and monitoring
- Automate tasks to improve ML workflow efficiency
- Stay current with MLOps tools and best practices
Requirements
- 10+ years of experience (as stated)
- AWS proficiency and AWS Certified Machine Learning – Specialty
- MLOps experience
- Strong ML framework experience: TensorFlow and/or PyTorch
- Bachelor’s/Master’s in Computer Science or related field
- 3+ years in MLOps or DevOps
- Strong Python/Go skills
- CI/CD experience
Preferred
- MLflow
- Tecton
- AWS EMR
- Knowledge of Docker, Kubernetes, AWS CDK, and CloudFormation
About Fuge Technologies Inc
Fuge Technologies Inc is a technology services company that works on software and cloud solutions for enterprise needs. The posting indicates a focus on building and operating machine learning systems in AWS environments, leveraging MLOps practices for reliable development and deployment.
Scraped 7/10/2026