Design, test, deploy and maintain machine learning use cases leveraging IBM Watson SaaS environment and toolset, and integrate with the audit management systems; Enhance existing AI/ML capabilities through ideation, exploration, testing, prioritization, and implementation; Design, test, and refine prompts to elicit the desired outputs from generative AI models, ensuring clarity, accuracy, effectiveness, and contextual relevance; Perform analytics on AI/ML capabilities usage to understand trends, patterns, and pain points and implement a sustainable feedback loop to ensure positive, continually improving user experiences
Requirements:
Bachelor’s degree in Data Science, Computer Science, MIS, or related discipline; 5+ years’ experience in AI, machine learning, and model development and deployment; Extensive experience in machine learning use case design, testing and deployment in IBM SaaS/Watson environment
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AI/ML Engineer - Lead Analyst Design, test, deploy and maintain machine learning use cases leveraging IBM Watson SaaS environment and toolset, and integrate with the audit management systems; Enhance existing AI/ML capabilities through ideation, exploration, testing, prioritization, and implementation; Design, test, and refine prompts to elicit the desired outputs from generative AI models, ensuring clarity, accuracy, effectiveness, and contextual relevance; Perform analytics on AI/ML capabilities usage to understand trends, patterns, and pain points and implement a sustainable feedback loop to ensure positive, continually improving user experiences Bachelor’s degree in Data Science, Computer Science, MIS, or related discipline; 5+ years’ experience in AI, machine learning, and model development and deployment; Extensive experience in machine learning use case design, testing and deployment in IBM SaaS/Watson environment
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