
Data Lakehouse and AI/ML Curriculum Engineer
Illumination Systems Arizona
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSLinux
About the role
- Build real-world, use case driven labs that establish best practices for using MinIO
- Support the labs with clear, concise training content and develop real-world and use case-based examples, guided exercises, and practical lab materials
- Package the labs and content into short, outcome-oriented training modules
- Record videos of modules
- Learn new platforms and technologies quickly in order to become a subject matter expert
Requirements
- 5+ years as a data engineer or data scientist
- 3+ years of experience with software-defined storage
- 3+ years using Amazon AWS, including an understanding of S3 and the S3 API
- 3+ years building and maintaining workflows in git
- 1+ years developing ML pipelines
- Solid foundation of Linux skills
- Strong oral and written communication skills
- Previous experience delivering webinars and/or recorded technical content is a plus
Benefits
- Health Care Plan (Medical, Dental & Vision)
- 401K with 3% Contribution
- Pre-IPO Stock Options
- At least 12 Public Holidays
- Flexible Time Off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata sciencesoftware-defined storageAmazon AWSS3S3 APIgitML pipelinesLinux
Soft skills
oral communicationwritten communicationtraining content developmentwebinar delivery