Senior Software Engineer - AI / ML Platforms and Infrastructure

About this kind of role

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

Typically does: Designs, develops, and maintains software platforms and infrastructure to support artificial intelligence and machine learning initiatives. This includes building scalable data pipelines, model deployment systems, and monitoring tools. Responsibilities often involve optimizing performance, ensuring reliability, and collaborating with data scientists and machine learning engineers. They may also research and implement new technologies to improve the efficiency and effectiveness of AI/ML workflows.

Tools and skills: Proficiency in programming languages like Python and Java, experience with cloud platforms (AWS, Azure, or Google Cloud), and familiarity with machine learning frameworks (TensorFlow, PyTorch) and DevOps practices are generally required.

Good fit for: Individuals with a strong background in software engineering and a passion for enabling cutting-edge AI and machine learning applications thrive in this role.