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Senior Machine Learning Engineer, Generative AI Applications
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- Position Description Be a pioneer in business, education, and global impact by joining the Harvard Business School Digital Transformation team - a “startup with assets,” where you will have the chance to deploy cutting-edge digital- and emerging-technology education solutions.
- As a Machine Learning Engineer, you will collaborate with data scientists, product managers, and data engineers to operationalize machine learning models in production and manage the lifecycle of artificial intelligence algorithms on a variety of domains.
- Basic Qualifications Minimum of seven years’ post-secondary education or relevant work experience Additional Qualifications and Skills Other Required Qualifications: Minimum of seven years’ post-secondary education or relevant work experience Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline.
- Experience working with a variety of relational SQL and NoSQL databases, big data tools: Hadoop, Spark, Kafka; a Linux environment; and at least one cloud provider solution (AWS, GCP, Azure).
- Other Preferred Qualifications: Experience with neural networks, deep learning, and reinforcement learning, using frameworks such as TensorFlow.
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