Senior Machine Learning Engineer - AI Enabler Team
Tasks
- Apply cloud native infrastructure for ML
- Architect distributed machine learning training and inference
- Build machine learning pipelines for training and inference
- Collaborate to deliver AI-driven features
- Evaluate Large Language Model performance
- Implement inference optimization quantization reduced precision and tuning
- Improve infrastructure automation and performance
- Optimize model inference for cost and quality
Perks/Benefits
- Equipment budget
- Equity options
- Flexible working conditions
- Hackathons
- Learning budget
- Paid time off
- Private health insurance
- Remote-first
- Team-building activities
Skills/Tech-stack
APIs | Checkpointing | Cloud Platforms | Containerization | Data Processing | Distributed Systems | Inference Optimization | Kubernetes | LLM optimization | Language Models | Large Language Models | Machine Learning | Python | Quantization | Real Time | Real-time Data | Real-time Data Processing | Reduced precision | TensorRT | Training pipelines | VLLM
Education
N/A
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