AI Scientific Software Engineer - Marie

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About this kind of role

What a AI Scientific Software Engineer - Marie usually does. The employer's own details are in the listing.

Typically does: Develops and maintains software used for artificial intelligence and machine learning research, often focusing on scientific applications. This includes writing code, testing algorithms, and collaborating with scientists to implement new AI models. Responsibilities may also involve optimizing existing software for performance and scalability, and documenting code for maintainability. The role frequently requires a deep understanding of both software engineering principles and AI/ML concepts.

Tools and skills: Proficiency in programming languages like Python, C++, and Java, along with experience using machine learning frameworks such as TensorFlow or PyTorch, is generally expected.

Good fit for: Individuals with a strong background in computer science or a related field, combined with a passion for applying AI to solve complex scientific problems, typically thrive in this role.