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.
As an AI / ML Engineer, a typical day involves designing and developing advanced applications and systems that leverage artificial intelligence technologies. The role includes integrating cloud-based AI services and ensuring that solutions are production-ready, whether deployed on cloud platforms or on-premises. The engineer works on implementing generative AI models and may engage in projects involving deep learning, neural networks, chatbots, and image processing. Collaboration with various teams and continuous problem-solving are integral parts of the daily workflow to deliver innovative AI-driven solutions.