AI Architecture

Summary: 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. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing and mentorship within the team to enhance overall expertise. - Coordinate cross-functional efforts to align AI solutions with organizational goals. - Monitor project progress and ensure timely delivery of AI components. - Promote best practices in AI development and deployment to maintain high-quality standards. Professional & Technical Skills: - Required Skill: Expert proficiency in AI Architecture. - Strong understanding of AI model development and deployment pipelines. - Experience with cloud AI services and integration of generative AI models. - Familiarity with deep learning frameworks and neural network architectures. - Proficient in designing scalable AI solutions for both cloud and on-premises environments. - Ability to optimize AI applications for performance and reliability. Additional Information: - The candidate should have minimum 3 years of experience in AI Architecture. - This position is based at our Manila office. Minimum 3 year(s) of experience is required

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