Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills:
Educational Qualification: 15 years full time education
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing robust application pipelines, ensuring they meet production-ready quality standards. You will also explore the integration of generative AI models into solutions, while working on various aspects of deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology.
Roles & Responsibilities:
Professional & Technical Skills:
Additional Information:
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