AI Lead Engineer
Tasks
- Apply statistical inference
- Balance latency cost reliability
- Build training pipelines
- Collaborate with stakeholders
- Contribute to agile sprint planning
- Contribute to system architecture
- Deploy AI systems
- Design machine learning models
- Develop data processing workflows
- Develop predictive models
- Document models systems experiments
- Establish coding standards
- Evaluate model performance
- Lead AI technical direction
- Mentor junior engineers
- Participate in hiring
- Prototype novel neural network architectures
- Stay current with deep learning
- Train deep learning models
- Translate AI into product features
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Bayesian Methods | Convolutional Neural Networks | Data Normalization | Data Pipelines | Data Processing | Deep learning | Git | Image Processing | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Model versioning | Neural Networks | OpenCV | Pillow | PyTorch | Python | Recurrent Neural Networks | Reinforcement Learning | Remote Sensing | Statistical inference | TensorFlow | Transformers | Version control
Education
Roles
AI | AI Lead | AI Lead Engineer | Engineer | Lead Engineer | Learning Engineer | Machine Learning Engineer
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