JavaScript Data Processing GCP GIT Strong Problem Solving Skills PyTorch TensorFlow
COOLSOFT
JavaScript Data Processing GCP GIT Strong Problem Solving Skills PyTorch TensorFlow
Requirement id 151586
Job title Analyst
Job location in Lansing, MI
Skills required Cloud Services, Python Scripting, JAVA SCRIPT, Data Processing GCP GIT Strong Problem S
Open Date 31-Jan-2025
Close Date
Job type Contract
Duration 7 Months
Compensation DOE
Status requirement ---
Job interview type ---
Email Recruiter:coolsoft
Job Description Analyst: Cloud Services, Python Scripting, JAVA SCRIPT, Data Processing GCP GIT Strong Problem S
No of Submissions: 1
Start Date : 02/24/2025
End Date : 09/30/2025
Submission Deadline : 2/7/25 at 10am EST.
Client info: DHHS
Note:
* Interview Process: ON-SITE INTERVIEWS at the Lansing office. Must be willing to do face-to-face interview. A screenshot photo of candidate will be required for all interviews as well as the vendor being present to validate candidate.
* On-site: Candidates must be currently local within a commutable distance not to exceed 1.5 hours. Manager is not interested in candidates who will need to relocate to accept the offer.
Position will be hybrid schedule, in office 2-days a week and 3 days remote from home.
* Duration: 1 year with possible extension.
Description:
The position is responsible for providing ongoing maintenance and support of GCP applications such as Document AI (DOC AI) and Google Chatbot 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 Google Chatbot fields requests systematically from Michigan residents for the Division for Vital Records and Health Statistics within MDHHS. Thus reducing the amount of calls per customer service agent. Both of these applications are 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 and ChatBot solutions, 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.
Knowledge of cloud services to store, analyze, and manage chatbot data.
• Experience in programming languages such as Python, Java, JavaScript (Node.js), and/or C++.
• Proficiency in data processing and analysis using tools such as SQL, R, and/or Pandas.
• Experience in working with large datasets and data preprocessing techniques.
• Proficiency in unit testing and integration testing for chatbot flows and APIs.
• Familiarity with debugging tools and performance monitoring to ensure the chatbot runs smoothly.
• Strong understanding of conversation design and user experience principles to create intuitive and engaging chatbot interfaces.
• Ability to design, develop, and deploy AI and machine learning solutions.
• Experience with machine learning algorithms and deep learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.
• Proficiency with Natural Language Processing (NLP) tools like SpaCy, NLTK, or Hugging Faces Transformers for text-based document processing.
• Knowledge of NLP concepts like intent recognition, entity extraction, and context management.
• Strong understanding of neural networks, computer vision, natural language processing, and/or reinforcement learning.
• Experience with OCR (Optical Character Recognition) Tesseract, Google Vision API, or AWS Textract.
• Proficiency in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools.
• Experience in building, managing, and o
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