AI/GenAI - ML Engineer at Quento Technologies S.A. building and maintaining scalable and efficient machine learning pipelines for various AI applications.
About the role
- Staff/Principal Machine Learning Engineer at Inworld optimizing real-time AI models and orchestration. Engaging in deep tech projects in a dynamic, collaborative environment.
Responsibilities
- Make unclear problems clear through design and prototyping.
- Treat performance, latency, and reliability as product features.
- Engage in in-person collaboration to solve complex problems and foster team culture.
- Support sharing work and open-source contributions to advance the field.
Requirements
- Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM.
- Hands-on experience with quantization, distillation, caching strategies, continuous batching, paged attention, and speculative decoding.
- Proficiency in C++, CUDA, Rust, or highly optimized Python.
- Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections.
- Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups.
- Full-cycle ownership of model deployment from research to production.
- PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems.
Benefits
- relocation assistance
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