Senior Machine Learning Engineer
Tasks
- Architect large scale speech and language systems
- Build and evolve ML training and inference pipelines
- Deploy scale monitor and maintain ML models
- Design model architectures loss functions and decoding strategies
- Improve model performance robustness and observability
- Lead fine tuning and post training strategy
- Mentor engineers and review technical designs
- Own end to end ML system lifecycle
- Resolve complex issues in model behavior and data quality
- Set ML infrastructure data pipeline and evaluation best practices
Perks/Benefits
- N/A
Skills/Tech-stack
Automatic Speech Recognition | Cloud Computing | Data Augmentation | Data Preprocessing | Decoding strategies | Deep learning | Evaluation Frameworks | Fine Tuning | JAX | Language Models | Language Processing | Large Language Models | Loss Functions | Machine Learning | Model Deployment | Model Fine-tuning | Model Inference | Model Monitoring | Model versioning | Multimodal Learning | Natural Language | Natural Language Processing | PyTorch | Speech Recognition | Speech and Language Datasets | Text to Speech
Education
Regions
Countries
States
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