Overview
On Site
150k - 250k
Full Time
Skills
Startups
Lean Methodology
Machine Learning Operations (ML Ops)
Scratch
Management
Kubernetes
GitHub
Continuous Integration
Continuous Delivery
Apache Spark
Workflow
Machine Learning (ML)
Data Engineering
DevOps
Insurance
SAP BASIS
Job Details
We're supporting a firm known for investing in industry game changers. They are not a startup but are intentionally lean. They look for entrepreneurial-minded engineers who can build from 0-1.
They're looking for an Engineer to join their ML team as a core infrastructure builder. You'll own the platform that supports their MLOps, setting up Kubernetes clusters, building Spark infrastructure from scratch, and designing reliable systems that serve models in production.
Applicants must currently be located in Chicago.
Required Skills & Experience
Daily Responsibilities
The Offer
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
They're looking for an Engineer to join their ML team as a core infrastructure builder. You'll own the platform that supports their MLOps, setting up Kubernetes clusters, building Spark infrastructure from scratch, and designing reliable systems that serve models in production.
Applicants must currently be located in Chicago.
Required Skills & Experience
- 7+ years of professional experience
- Experience building and managing Kubernetes clusters
- Using GitHub Actions for CI/CD Deployment
- Building and maintaining Spark workflows
- Supporting Machine Learning teams
Daily Responsibilities
- 30% Data Engineering
- 30% High Performance & Reliability
- 40% DevOps & Platform Engineering
The Offer
- Bonus eligible
- Medical, Dental, and Vision Insurance
- Vacation Time
- Stock Options
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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.