Technical Lead, Machine Learning

Tasks

• Architect high performance inference systems
• Build data pipelines for real world and synthetic training data
• Build training and fine tuning pipelines
• Continuously improve production models
• Deploy and monitor models in production
• Design evaluation systems
• Optimize latency GPU utilization memory cost and reliability
• Own end to end machine learning systems
• Partner with research and application engineering

Perks/Benefits

• N/A

Skills/Tech-stack

Cost Optimization | Data pipeline | Fine Tuning | GPU | JAX | Latency optimization | Machine Learning | Memory Optimization | Model Deployment | Model Evaluation | Model Inference | Model Training | Monitoring | Production Engineering | PyTorch | Python