Deployment DevOps Engineer
Adaptive ML(2 months ago)
About this role
As a Deployment DevOps Engineer at Adaptive ML, you will be responsible for systematic deployment of the Reinforcement Learning Operations (RLOps) platform, ensuring a seamless integration of generative AI products across various infrastructures, both on-premise and in the cloud. The role involves scaling production databases, managing GPU infrastructure, and supporting internal workloads while collaborating closely with sales and customer success teams to enhance product deployment and troubleshoot issues. You will also contribute to the product roadmap by addressing customer needs and will be part of the first line of support for escalations, emphasizing clear communication and robust operational practices.
Required Skills
- DevOps
- Kubernetes
- Containerization
- Technical Support
- SRE
- On-Call Support
- Customer Interaction
- Incident Troubleshooting
- SLA Maintenance
- Networking
+9 more
About Adaptive ML
www.adaptive-ml.comAdaptive ML is a company dedicated to optimizing large language models (LLMs) for enterprise applications. They offer the Adaptive Engine, which utilizes reinforcement learning techniques to evaluate, tune, and serve tailored LLM solutions that align with specific business needs. Their focus is on reducing errors and improving efficiency in AI-driven tasks, such as customer support and data handling. The company is committed to advancing AI technology through effective model tuning and implementation services.
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