Azure ML Architect

Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Defining validation strategies
Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, and training of AI/ML solutions
Advise leaders on technology, strategy, and policy issues related to AI/ML