Position Details
About this role
GM is seeking a Senior AI/ML Capacity Engineer to develop capacity planning models, optimize ML infrastructure, and support autonomous vehicle research and development.
Key Responsibilities
- Develop capacity models
- Build analytical tools
- Collaborate on ML infrastructure
- Optimize cloud resources
- Support autonomous vehicle R&D
Technical Overview
Role involves designing ML infrastructure, developing analytical tools, and collaborating with engineering teams, utilizing Python, SQL, BigQuery, and cloud platforms to support large-scale ML systems.
Ideal Candidate
The ideal candidate is a senior AI/ML Capacity Engineer with 5+ years of experience in developing large-scale ML infrastructure, proficient in Python, SQL, and BI tools, with a solid understanding of distributed systems and ML architecture.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 5 years of relevant experience, No experience with Python or SQL, Lack of knowledge in distributed systems or ML architecture, Unfamiliar with GCP or BigQuery, Location outside the specified 4 locations
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile