Related skills
python kubernetes pytorch fastapi mlopsπ Description
- Train and fine-tune ASR models at scale with dataset strategy.
- Build validation/evaluation frameworks (WER and analysis).
- Deploy and operate ASR inference services with reliability.
- Optimize latency and throughput (batching, profiling).
- Build APIs/services in FastAPI, Kafka, Triton; run on Kubernetes.
- Own core ASR components; set best practices; cross-team collaboration.
π― Requirements
- Strong Python programming; production-grade code.
- Hands-on ASR experience: train/finetune end-to-end models.
- Design evaluation approaches (WER, error analysis).
- Deploy/operate ASR services in production; performance and reliability.
- Build ML systems with pipelines, CI/CD, and monitoring.
- Clear communication across research, engineering, and product.
- Masterβs degree in CS/engineering/math/statistics/physics or equivalent.
- Nice to have: multilingual ASR, streaming inference, healthcare privacy; Go.
π Benefits
- You will be reporting to the Director of Engineering.
- The position is full-time and starts as soon as possible.
- Hybrid working environment in our Copenhagen Office.
- Equipment provided by Corti.
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