Deploy large-scale ASR systems with the industry-standard Kaldi toolkit. Real-time streaming, GPU optimization, and production reliability.
Kaldi remains the production workhorse for enterprise ASR systems despite the rise of Whisper and other deep learning models. Companies processing millions of hours annually rely on Kaldi's proven stability, CPU efficiency, and real-time streaming capabilities.
Companies maintaining large-scale Kaldi deployments include:
$110K - $145K
Basic Kaldi knowledge, some production experience. Often hired from research backgrounds to learn production systems.
$140K - $180K
Deployed multiple Kaldi systems to production. Can build custom recipes and optimize for specific domains.
$175K - $220K
Architected large-scale ASR infrastructure. Deep Kaldi internals knowledge. Can lead team of engineers.
Deploy and optimize Kaldi-based ASR systems processing 50M+ customer calls annually. Work on real-time streaming pipelines, acoustic model tuning for contact center audio, and infrastructure scaling.
View Details & ApplyBuild real-time Kaldi streaming infrastructure for cloud phone system. Integrate with WebRTC, optimize for low latency (<100ms), and scale to handle 10K concurrent calls.
View Details & ApplyMaintain and enhance Kaldi-based workforce optimization platform. Focus on acoustic model improvements for contact center environments, custom language model adaptation, and quality monitoring.
View Details & ApplyLead Kaldi production systems architecture. Optimize for accuracy and cost efficiency at scale (1M+ hours/month). Mentor team of 5 engineers. Work on hybrid Kaldi/Whisper deployment strategy.
View Details & ApplyBuild deployment infrastructure for Kaldi-based ASR API. Docker/Kubernetes expertise required. Optimize GPU utilization, implement auto-scaling, and maintain 99.95% uptime SLA.
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