Overview
Remote
On Site
$60
Accepts corp to corp applications
Contract - W2
Contract - 6 Month(s)
Skills
IT Consulting
Agile
Real-time
SAP BASIS
Python
Continuous Integration
Machine Learning (ML)
GitHub
Automated Testing
Orchestration
Docker
Kubernetes
Continuous Delivery
RESTful
Microservices
API
Machine Learning Operations (ML Ops)
Job Details
Stellar Consulting Solutions is a boutique business & technology consulting company headquartered in Atlanta, GA. We deliver high quality, agile, and experienced workforce for niche technology projects of any scale. We help forward thinking clients to solve specific problems by understanding their needs and align talent that can move fluidly
to match skill supply and demand on a real-time basis.
to match skill supply and demand on a real-time basis.
Stellar Consulting has a unique combination of technical and digital skills to recruit, engage, and retain qualified talent. We have a stellar reputation for striving to achieve high ethical standards. Our use of Innovative techniques and industry best practices has made us one of the fastest growing boutique firms delivering to enterprise business.
Machine Learning Engineer
Contract Duration: 6 Months+
Contract Duration: 6 Months+
Location: Remote
- Strong Python engineering skills and production experience building services with FastAPI.
- Proven MLOps experience: packaging, serving, scaling, and maintaining models as APIs.
- Hands-on CI/CD for ML (GitHub Enterprise or similar), including automated testing and release pipelines.
- Containerization and orchestration expertise (Docker, Kubernetes) with production deployments on AKS.
- GitOps experience with Argo CD; practical knowledge of deployment strategies (blue/green, canary, rollback).
- Solid understanding of RESTful API design, microservices patterns, and API contract governance.
- Experience designing or contributing to an MLOps platform (standards, templates, tooling) for repeatable delivery.
- Ability to work cross-functionally with data scientists, software, and platform/SRE teams.
- Proven MLOps experience: packaging, serving, scaling, and maintaining models as APIs.
- Hands-on CI/CD for ML (GitHub Enterprise or similar), including automated testing and release pipelines.
- Containerization and orchestration expertise (Docker, Kubernetes) with production deployments on AKS.
- GitOps experience with Argo CD; practical knowledge of deployment strategies (blue/green, canary, rollback).
- Solid understanding of RESTful API design, microservices patterns, and API contract governance.
- Experience designing or contributing to an MLOps platform (standards, templates, tooling) for repeatable delivery.
- Ability to work cross-functionally with data scientists, software, and platform/SRE teams.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.