Tech Lead — ASR / TTS / Speech LLM (IC + Mentor)
Tasks
- Architect and optimize training recipes
- Collaborate with ML-ops for production readiness and observability
- Design data pipelines for synthetic and real data generation
- Ensure Kubernetes autoscaling for high concurrency inference
- Evaluate and benchmark open source speech models
- Guide evaluation cycles drift monitoring and failover
- Implement language model biasing APIs
- Lead end to end development of ASR TTS Speech LLM models
- Lead integration with Triton Inference Server and TensorRT
- Mentor engineers on data curation and model serving
- Own technical roadmap for model selection fine tuning and deployment
- Use WFST grammars and context biasing for domain accuracy
Perks/Benefits
- N/A
Skills/Tech-stack
ASR | Activity Detection | Adapters | CTC | ESPnet | Entity F1 | FP16 | Fairseq | GPU | Inference Server | Kubernetes | Language Model | Language Model Biasing | Latency | LoRA | NEMO | PyTorch | RNN-T | Speaker Diarization | Speech LLM | Streaming | TTS | TensorRT | Text to Speech | Triton Inference | Triton Inference Server | Voice Activity Detection | WER | WFST
Education
Roles
Engineer | Lead | Learning Engineer | Machine Learning Engineer | Tech Lead
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