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Data Science Engineer
2 weeks ago
The successful Machine Learning Engineer will have the following responsibilities:
- Develop and deploy machine learning and AI models in GCP, Azure Open AI, or other cloud platforms
- Collaborate with stakeholders across the organization to understand requirements, assimilate data needed, build predictive/prescriptive models, communicate results, and deploy predictions on edge or central database systems
- Furnish analysis with analytical insight while maintaining completeness, accuracy, and documentation
Requirements
To succeed as a Machine Learning Engineer, you should have the following qualifications:
- Master's degree in analytics or computer science with 4+ years of experience developing and deploying machine learning models
- Experience with Big Data environments (very large 1st party data integrating multiple internal and external disjointed data)
- Strong knowledge of supervised and unsupervised deep learning algorithms and experience in advanced deep learning libraries like TensorFlow, Keras, PyTorch, Caffe, Theano etc.