International Trainee driving AI integration and usage increase in Baltic Retail Bank. Collaborating with sales units to enhance customer value and operational efficiency.
About the role
- Senior Capacity Engineer developing ML/AI infrastructure for autonomous vehicles at GM. Collaborating with cross-functional teams to optimize cloud capacity and performance.
Responsibilities
- Develop and refine technical models for capacity planning for GM’s AV infrastructure
- Design and build automated analytical tools for monitoring capacity and demand signals
- Partner with AI/ML engineering, infrastructure engineering, and cloud vendors to proactively identify and drive optimization projects to increase engineering and cost efficiencies
Requirements
- 5 + years of relevant work experience
- Bachelor's Degree in Computer science or related field or relevant work experience
- Proficient in coding with Python (our preferred language)
- Proficient in BI platforms
- Experience with data modeling and working with SQL on large datasets such as BigQuery
- Good understanding of distributed systems including modern ML system architecture and design
- 8 + years of relevant work experience (Preferred)
- Proficient in coding with Pandas and NumPy (Preferred)
- Proficient in Looker and BigQuery (Preferred)
- Good communication skills (Preferred)
- Experience executing cross functional projects (Preferred)
- Experience with Git, Linux, and common Linux CLI tooling (Preferred)
- Experience with analyzing billing and usage data in GCP (Preferred)
- Experience with modern ML system architecture and design (Preferred)
- Experience with forecasting capacity demand (Preferred)
Benefits
- medical
- dental
- vision
- Health Savings Account
- Flexible Spending Accounts
- retirement savings plan
- sickness and accident benefits
- life insurance
- paid vacation & holidays
- tuition assistance programs
- employee assistance program
- GM vehicle discounts and more
Job title
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Experience level
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Degree requirement
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