Principal ML Engineer
Tasks
- Architect ML pipelines for experimentation and inference
- Collaborate with research and product teams on ML infrastructure
- Deploy ML models to production inference systems
- Implement continual learning model versioning and A B testing
- Improve audio dataset quality and labeling pipelines
- Mentor ML engineers and research scientists
- Optimize models for latency memory and real time performance
- Support real time voice AI for speech enhancement and translation
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | ASR | Apache Druid | Apache Pinot | Audio augmentation | B testing | CNN | Continual Learning | DSP | Feature Engineering | Flink | Hugging Face | Hugging Face Transformers | JAX | Kafka | LSTM | MLOps | Model Inference | Model Training | Model versioning | ONNX | PyTorch | Python | RNN | Speaker Verification | TTS | TensorFlow | TensorRT | Time Series | TorchAudio | TorchScript | Transformers
Education
N/A
Regions
Countries
States
Cities
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