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Job Description
- Designing AI/ML pipelines
- Research and implement appropriate ML algorithms and tools using deep learning and artificial neural networks
- Select appropriate datasets and data representation methods
- Analyze results for robustness, validity, and out of sample stability
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems, classifiers and networks when necessary
- Extend existing ML libraries and frameworks
- Document, summarize, and present findings to a group of peers and stakeholders. across multiple modeling projects
Job Requirements
- Experience with Python, Pytorch and TensorFlow
- Experience with using Numpy, Pandas
- Experience with building and deploying a range of deep learning models into production
- Experience with AWS
- Experience with Multithreaded programming