Senior Machine Learning Engineer - AI Enabler Team
Tasks
- Architect distributed machine learning inference
- Architect distributed machine learning training
- Define AI driven features
- Design machine learning pipelines
- Evaluate Large Language Model performance
- Implement inference optimization
- Improve infrastructure automation
- Improve infrastructure performance
- Optimize model inference
- Stay updated on AI ML frameworks and cloud technologies
Perks/Benefits
- Equipment budget
- Equity options
- Flexible working conditions
- Hackathons
- Learning budget
- Paid time off
- Personal project time
- Private health insurance
- Remote-first work environment
- Team-building activities
Skills/Tech-stack
API Development | Checkpointing | Cloud Platforms | Containerization | Data Processing | Distributed Systems | Inference Optimization | Kubernetes | Language Models | Large Language Models | Machine Learning | Model Inference | Performance Tuning | Python | Quantization | Real Time | Real-time Data | Real-time Data Processing | Reduced precision | Scalable System Design | System design | TensorRT | Training pipelines | VLLM
Education
N/A
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