Senior Machine Learning Engineer
Tasks
- Architect large scale ASR NLP and LLM systems
- Deploy scale monitor and operate ML systems with versioning and rollback
- Design model architectures loss functions and decoding strategies
- Drive improvements in model performance robustness observability and operations
- Lead training fine tuning post training and inference strategies
- Mentor engineers and review technical designs
- Own end to end ML system lifecycle from prototype to deployment
- Partner with product and infrastructure to build production systems
- Set technical direction for ML infrastructure data pipelines and evaluation
Perks/Benefits
- N/A
Skills/Tech-stack
Automatic Speech Recognition | Cloud Computing | Conversational Datasets | Data Augmentation | Data Preprocessing | Decoding | Fine Tuning | Inference | JAX | Language Models | Language Processing | Large Language Models | Loss Functions | Machine Learning | Model Architecture | Model Fine-tuning | Model Training | Model versioning | Monitoring | Multimodal Learning | Natural Language | Natural Language Processing | Performance Regression Detection | Performance regression | Post-training | PyTorch | Regression Detection | Rollback | Speech Processing | Speech Recognition | Speech datasets | Text to Speech
Education
Regions
Countries
States
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