Position Details
About this role
This role involves developing capacity models for ML infrastructure supporting autonomous vehicle research, designing automation tools, and collaborating with engineering teams to optimize performance and costs.
Key Responsibilities
- Develop capacity models
- Automate capacity monitoring
- Collaborate on ML infrastructure
- Optimize cloud costs
- Support autonomous vehicle projects
Technical Overview
The technical environment includes ML infrastructure, cloud platforms like GCP, BigQuery, Python, SQL, and distributed systems, with a focus on capacity modeling, automation, and monitoring.
Ideal Candidate
The ideal candidate is a mid-level AI/ML capacity engineer with at least 5 years of experience in ML infrastructure, capacity planning, and automation. They are proficient in Python, SQL, and BigQuery, 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 proficiency in Python, Lack of experience with SQL or BigQuery, No understanding of distributed systems
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