Backend Engineer

• Design and develop scalable solutions using AI tools and machine-learning models.
• Perform research and testing to develop machine learning algorithms and predictive models.
• Utilize big data computation and storage tools to create prototypes and datasets.
• Conduct model training and evaluation.
• Integrate, test, tune, and monitor solutions.
• Perform data science tasks such as data acquisition, data cleaning, and feature extraction.
• Develop and demonstrate proofs of concept (PoCs), independently or as part of a team.
• Create technical diagrams and documentation to illustrate PoC implementations and potential production deployments.
• Research and present to teammates the latest tools, packages, and capabilities being developed.
• Recommend relevant tools and packages for use in production environments.
• Work with governance committees to document and obtain approval for exploratory data science initiatives.
• Collaborate with architecture teams to identify potential automation solutions, including AI/ML applications.
• Partner with cross-functional teams to design and implement holistic AI/ML solutions.

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