Senior Software Engineer, AI/ML, AI and Infrastructure

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About this kind of role

What a Senior Software Engineer, AI/ML, AI and Infrastructure usually does. The employer's own details are in the listing.

Typically does: Designs, develops, tests, and deploys machine learning models and related infrastructure. This role involves collaborating with data scientists and other engineers to build scalable and reliable AI systems. Responsibilities often include optimizing model performance, ensuring data quality, and contributing to the overall architecture of AI platforms. Senior engineers are expected to mentor junior team members and contribute to technical strategy.

Tools and skills: Proficiency in programming languages like Python, experience with machine learning frameworks (TensorFlow, PyTorch), cloud platforms (AWS, Azure, GCP), and strong understanding of data structures and algorithms are generally required.

Good fit for: Individuals with a strong background in software engineering and a passion for artificial intelligence and machine learning thrive in this role.