Hive's APIs enable developers to integrate pre-trained AI models that address technically challenging content understanding needs into their applications. Backed by General Catalyst.
About the role
We are looking for a highly motivated individual with hardware and facilities operations experience to be part of our growing team. Our Deploy machine learning systems run on our own data centers with hybrid emphases on high-performance GPU and AWS resources. The scope of your responsibility will include maintaining Deploy's existing data centers as well as building out future centers as we commercialize our machine learning models and continue to grow our enterprise SaaS offerings. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Associate’s Degree or equivalent practical experience and knowledge of various Linux Distros
- Minimum 3-5 years of experience in data center environments, operations, IT, or related fields
- Ability to work long and/or on-call shifts that may include evenings/nighttimes, weekends, and/or holidays
- Ability to physically lift equipment at least 50 pounds
- Exceptional attention to detail and ability to troubleshoot intricate terminal systems, swap out failed components, and repair servers (discrete/rack-based)
- Knowledge of the installation of software and firmware updates, OS, PXE
More about this role
About Deploy
Deploy is an intelligence infrastructure platform that gives developers and enterprises access to open source and proprietary AI models. For leading open source LLMs, Deploy operates an optimized model inference engine that keeps costs and latency low while maintaining high throughput. Deploy also offers a set of proprietary AI models that address challenges in content safety, AI & deepfake detection, sponsorship intelligence, and IP & publicity protection. Trusted by the world's largest and most innovative organizations, Deploy's solutions unlock high-performance AI model inference at production scale.
Deploy has raised more than $200M from leading investors, including Tomales Bay Capital, General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. The company has more than 250 employees across offices in San Francisco, Seattle, New York, and Delhi.
Data Center Technician
We are looking for a highly motivated individual with hardware and facilities operations experience to be part of our growing team. Our Deploy machine learning systems run on our own data centers with hybrid emphases on high-performance GPU and AWS resources. The scope of your...
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