Senior AI Engineer

Job description

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Partners with data scientists, product managers, infrastructure engineers and peer AI Engineers to design, develop, operationalize, integrate, and scale new algorithmic products including Generative AI models.

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Builds enterprise AI platforms and accelerators to enable deployment of applications with AI core and access AI models via APIs or batch pipelines.

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Develops high quality, standard-compliant and tested code. Refactors code of others, as necessary. Contributes code to shared libraries.

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Implements DevOps methodologies, DataOps and MLOps principles in day-to-day work.

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Develops continuous integration and continuous delivery pipelines.

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Coaches and trains junior engineers, develops training materials.

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Continuously evaluates in proof of concepts, recommends best technologies and ML models.

Job Qualifications

AI, AI lifecycle management, Python, CS, MLOps, LLMs, Generative AI, software engineering practices

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Experience with AI / ML software products and deployment of enterprise-grade products to production

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Python development experience

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Software engineering best practices - testable code, and the test coverage to go along with it, CI/CD tools knowledge and experience, familiar working in a DevOps environment, API management

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Strong problem-solving skills

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Ability to communicate technical concepts to teammates and non-technical colleagues

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Experience with source control management tools (GitHub), Agile tools (Jira)

Job Schedule
Full time

Job Number
R000099147

Job Segmentation
Experienced Professionals (Job Segmentation)