Data Infrastructure Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Infrastructure Engineer (AI): Building and maintaining fundamental data systems and infrastructure to power AI applications with an accent on large-scale data acquisition and multi-modal processing. Focus on optimizing storage and computation efficiency and productionizing AI model evaluation infrastructure.
Location: Must be based in Los Angeles, Palo Alto, San Francisco, or Toronto
Company
is an AI company dedicated to making visual storytelling accessible to all through cutting-edge video generation technology.
What you will do
- Design, build, and maintain the data infrastructure and systems required to support various AI applications.
- Develop frameworks for large-scale data acquisition and multi-modal data processing.
- Enhance storage and computation efficiency to support AI model scalability.
- Build infrastructure for AI model evaluation and productionization.
- Collaborate with data scientists and ML engineers to design efficient computational solutions.
- Manage cloud resource budgeting and infrastructure expenses.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Proven experience managing infrastructure for large-scale AI or machine learning projects.
- Proficiency in Python.
- Experience optimizing computational workflows.
- Familiarity with AI and machine learning frameworks such as TensorFlow or PyTorch.
- Must be located in Los Angeles, Palo Alto, San Francisco, or Toronto
Nice to have
- Experience with GPU computing.
- Experience with distributed data processing systems.
- Experience building large-scale batch inference systems.
- Prior experience in a startup or fast-paced tech environment.
Culture & Benefits
- Competitive salary and comprehensive benefits package.
- Dynamic, inclusive, and collaborative work environment.
- Opportunities for professional growth and advancement.
- Access to the latest technologies and tools in the AI field.
- Culture that values innovation and creativity.
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