AI Engineer
Tasks
- Build AI systems with PyTorch
- Build AI systems with TensorFlow
- Build Bayesian algorithms
- Build coordinate descent algorithms
- Build evolutionary algorithms
- Build gradient descent algorithms
- Conduct model training and evaluation
- Create big data prototypes and datasets
- Design scalable AI solutions
- Develop Convolutional Neural Networks
- Develop GANs
- Develop deep learning models
- Develop predictive models
- Develop synthetic data prototypes
- Integrate tests and optimize solutions
- Research and test deep learning algorithms
- Work autonomously
Perks/Benefits
Skills/Tech-stack
Bayesian Methods | Big Data | Convolutional Neural Networks | Coordinate Descent | Data Prototyping | Deep learning | Evolutionary Algorithms | GAN | Gradient descent | Language Models | Large Language Models | Model Evaluation | Model Training | Neural Networks | Predictive Modeling | PyTorch | Python | TensorFlow
Education
Master of Arts | Master of Engineering | Master of Science | Master of Science in Engineering
Roles
AI | AI Engineer | Engineer
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