AI AND MACHINE LEARNINGType: Contract | Location: Lansing, Michigan
“The position is responsible for providing ongoing maintenance and support of GCP applications such as Document AI (DOC AI) for vital records MDHHS within our department. The DOC AI is a Google Cloud product that is used to scan paper marriage licenses, extract index information and images to FileNet and stored in a on-prem application called VERA. The application is utilized by Vital Records MDHHS employees. Changes are being made to enhance the stability and functionality of the systems.The resource is integral to developing and maintaining MDHHS DOC AI solution, streamlining critical business processes, data integrity, SEM/SUITE compliance, and securing the applications. The resource also performs as a technical lead and provides technical guidance to the other developers in the department. As a technical lead, the resource participates in a variety of analytical assignments that provide for the enhancement, integration, maintenance, and implementation of projects. The resource also provides technical oversight to developers in the team that support other critical applications . Not having a resource on staff will lead to MDHSS manually documenting and developing screen plans that can lead to errors causing data integrity issues and can eventually lead to incorrect information being processed and reporting of the patient information.
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Top Skills & Years of Experience:

• 5+years in TensorFlow, PyTorch, Keras, or Scikit-learn.
• 5+ years in microservices.
• 5+years in SpaCy, NLTK, or Hugging Face’s
• 5+years in Tesseract, Google Vision API, or AWS Textract.
• 5+years in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools
• 5+years in RESTful APIs and webhooks
• 5+years in SQL, R, and/or Pandas.
• 5+ years in cloud computing and software development.
• 5+ years software development in Python, Java, JavaScript.
• 5+ years implementing core Artificial Intelligence (AI) and Machine Learning (ML) concepts.
• 5+ years designing, building, and managing Google Cloud Platform (GCP) solutions.
• 5+ years in projects development using Angular/React JS, JavaScript framework.
• 5+ years programming in the JBOSS Enterprise SOA environment including JBOSS Workflow.
• 5+ years using CMM/CMMI Level 3 methods and practices.
• 5+ years implemented agile development processes including test driven development.
• 3+ years’ Experience creating CI/CD pipelines using Azure DevOps.

Please refer the Job description for details