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AWS DevOps Engineer / MLOps
Summary by AIEngineer.careers
AWS DevOps Engineer / MLOps is a MLOps Engineer role (full-time). with Capnexus. in BOULDER, US. Imported listing (source: ihiretechnology.com). Apply on the employer's site (ihiretechnology.com).
Imported listing (source: ihiretechnology.com) · Apply on ihiretechnology.com
BOULDER · US
—
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from ihiretechnology.com
Capnexus is seeking an MLOps Engineer to manage AWS infrastructure and machine learning model deployments. The role focuses on automating pipelines, managing endpoints in Amazon SageMaker, and implementing monitoring solutions using Infrastructure as Code practices.
Responsibilities
- Deploy and manage ML models using Amazon SageMaker
- Automate ML pipelines and infrastructure using Infrastructure as Code
- Monitor model performance and endpoint health
- Maintain AWS cloud infrastructure for AI workloads
Requirements
- Experience with AWS services, particularly SageMaker
- Proficiency in Infrastructure as Code tools
- Knowledge of ML pipeline automation
- Strong understanding of DevOps principles applied to ML
Tech Stack
AWSAmazon SageMakerInfrastructure as Code
C
Capnexus
Middletown · US · 66+ employees
CapNexus is a U.S.-based enterprise and retail technology transformation partner formed through the unification of Capstone Integrated Solutions, RPE Solutions, and Makira. The company specializes in modernizing business operations, implementing enterprise systems, and providing cloud-based solutions as an AWS Advanced Tier Partner.
