
AI Infrastructure Specialist
4 days ago
We are seeking a highly skilled professional to build and scale the infrastructure that powers our production AI services.
Key Responsibilities- Design, develop, and maintain production-ready APIs for speech, language, and other AI models.
- Create SDKs and documentation to enable easy developer adoption.
- Deploy models using advanced systems like Triton Inference Server or similar technologies.
- Optimize inference pipelines for low-latency, high-throughput workloads.
- Architect infrastructure for handling large-scale, concurrent inference requests.
- Implement robust monitoring, logging, and auto-scaling for deployed services.
- Collaborate with research teams to successfully productionize new models.
- Partner with application teams to deliver seamless AI functionality through APIs.
- Automate Continuous Integration/Continuous Deployment (CI/CD) pipelines for models and APIs.
- Manage GPU-based infrastructure in cloud or hybrid environments.
- Core Skills
- Strong programming experience in Python (FastAPI, Flask) and/or Go/Node.js for API services.
- Hands-on experience with model deployment using advanced tools like Triton Inference Server, TorchServe, or similar.
- Familiarity with both Automatic Speech Recognition (ASR) frameworks and Large Language Model (LLM) frameworks.
- Infrastructure
- Experience with Docker, Kubernetes, and managing GPU-accelerated workloads.
- Deep understanding of real-time inference systems.
- Cloud expertise (AWS, GCP, Azure).
- Bonus
- Experience with model optimization.
- Exposure to Machine Learning Operations (MLOps) tools for deployment and monitoring.
The ideal candidate will possess strong problem-solving skills, excellent communication skills, and the ability to work collaboratively in a team environment.
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