Senior Software Engineer - Machine Learning Platform

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About this kind of role

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

Typically does: Designs, develops, tests, and deploys machine learning models and infrastructure. This role involves collaborating with data scientists and other engineers to build scalable and reliable platforms for training and serving models. Responsibilities often include optimizing model performance, ensuring data quality, and implementing robust monitoring and alerting systems. Senior engineers in this area frequently mentor junior team members and contribute to architectural decisions.

Tools and skills: Proficiency in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud platforms (e.g., AWS, Azure, GCP) are generally required, alongside strong skills in data structures, algorithms, and software design.

Good fit for: Individuals with a strong background in software engineering and a passion for machine learning, who enjoy problem-solving and building complex systems, are likely to thrive in this role.