Senior AWS SageMaker Engineer

Job summary

Develop, train, deploy, and monitor machine learning models using AWS SageMaker. Implement MLOps pipelines and manage the machine learning lifecycle, including SageMaker Pipelines, Model Registry, and Feature Store.

Job details

Pay Range: CAD 50-55/hr Top 3 Required Skills: AWS SageMaker (Model Development, Training, Deployment, Monitoring) AWS SageMaker Feature Store and Feature Engineering MLOps and Python Development Top 3 Preferred Skills: AWS Bedrock / Generative AI Terraform / CloudFormation Kubernetes and Docker Experience Required: 8+ years of overall IT experience Strong hands-on experience with AWS cloud services Experience implementing MLOps pipelines and ML lifecycle management Strong Python development skills Hands-on experience with SageMaker Pipelines, Model Registry, and Feature Store Experience with CI/CD tools and cloud-native development practices Education Requirements: Bachelor's degree in Computer Science, Engineering, Information Technology, or related field AWS certifications preferred

What you’ll do

Develop, train, deploy, and monitor machine learning models using AWS SageMaker. Implement MLOps pipelines and manage the machine learning lifecycle, including SageMaker Pipelines, Model Registry, and Feature Store.

Requirements

Requires 8 or more years of overall IT experience, strong hands-on AWS cloud experience, and strong Python development skills. Candidates should have experience implementing MLOps pipelines, managing ML lifecycles, using SageMaker services, and working with CI/CD and cloud-native practices; a relevant bachelor's degree is required, and AWS certifications are preferred.

Listed skills

• Python · Preferred
• CI/CD · Preferred
• Terraform · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• AWS SageMaker
• Model Development
• Model Training
• Model Deployment
• Model Monitoring
• SageMaker Feature Store
• Feature Engineering
• MLOps
• Python
• SageMaker Pipelines
• Model Registry
• CI/CD
• AWS Bedrock
• Generative AI
• Terraform
• CloudFormation

Job areas

• Technology
• Software
• Data & Analytics
• Engineering

More jobs from LanceSoft, Inc.