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Application architect

Salary undisclosed

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Responsibilities:



  • Translate requirements into architecture for solutions and document the architecture and design

  • Support the execution of AI and model documentation and testing - Coordinate AI/ML technology risk and control governance

  • Review model development documents to ensure adherence to policy and procedures

  • Provide analysis to support informed decisions and model compliance

  • Interpret raw data to identify patterns and trends for data-driven insights


Required Skills:



  • Strong background in hypothesis testing, regression analysis, statistics, or probability

  • Experience with predictive analytics and modeling methods

  • Hands-on experience with Python, PySpark, PyTorch, Tensorflow, Keras, and deep learning architectures

  • Knowledge of Hadoop platform and related Big Data technologies

  • Familiarity with R or SAS, SQL, and relational databases

  • Experience with model governance requirements and model risk management

  • Ability to write data processing, data pipeline, and data models

  • Self-starter with the ability to multi-task and work under tight deadlines

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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