Software Engineer, Machine Learning-Backend

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About this kind of role

What a Software Engineer, Machine Learning-Backend usually does. The employer's own details are in the listing.

Typically does: Develops and maintains the backend infrastructure that supports machine learning models, including data pipelines, APIs, and model deployment systems. Designs, builds, and tests scalable and reliable systems for training, evaluating, and serving machine learning models. Collaborates with machine learning engineers and data scientists to ensure seamless integration of models into production environments. Optimizes backend performance and addresses issues related to data storage, processing, and model serving.

Tools and skills: Proficiency in programming languages like Python, Java, or Go, experience with cloud platforms (AWS, Azure, GCP), databases (SQL, NoSQL), and machine learning frameworks (TensorFlow, PyTorch) is generally expected.

Good fit for: Individuals with a strong foundation in software engineering principles and a passion for building robust and scalable systems to support machine learning applications thrive in this role.