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Delphina seeks a Machine Learning Engineer to drive product direction and automate ML workflows. Key responsibilities include transforming research into practical solutions, collaborating with customers, and building production prototypes. The role emphasizes software engineering skills, a growth mindset, and a focus on continuous improvement.

As a ML Infrastructure Engineer, you will develop platforms for executing ML jobs, create solutions for data orchestration, define integration models for application testing, and influence technology use among cross-functional teams.

As an Applied Scientist at Delphina, you will automate ML workflows by transforming research into production-ready solutions, partnering with customers to ensure their success, and working independently to innovate and improve the product. You'll also engage in feature engineering, deep learning, and production ML use cases, contributing to the direction and outcomes of the team.