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Executive Order 11246, Section 503 & VEVRAA EOE, including disability/vets
JavaScript Data Bricks Unit Testing Restful Api GCP Agile Development GIT Strong Pr
 
Requirement id 154989
Job title Analyst
Job location in Lansing, MI
Skills required Python Scripting, JAVA SCRIPT, C++, Data Bricks Unit Testing Restful Api GCP
Open Date 04-Sep-2025
Close Date
Job type Contract
Duration 12 Months
Compensation DOE
Status requirement ---
Job interview type ---
Apply
   Email Recruiter: coolsoft
Job Description Analyst: Python Scripting, JAVA SCRIPT, C++, Data Bricks Unit Testing Restful Api GCP

Start Date :9/29/2025
End Date :At least 1 Years from projected start date

Submission Deadline : 9/11/2025 10:00:00 AM

Client Info : DHHS

Note:

* Interview Process: Candidates submitted MUST be willing to come onsite (Lansing, MI) for interviews. A screenshot photo of candidate will be required for any interviews as well as a vendor present at beginning of any MS Teams interview to validate candidate.

* Duration: 1 year with possible extension.

* Remote or On-site: Accepting local candidates within 90 minutes of Lansing, MI at time of submission ONLY. Position will be hybrid, in office 2 days a week upon start and there is NO REMOTE ONLY option.

Description :

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.

• 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 optimizing chatbot applications for different platforms (web, mobile, voice assistants).
• Experience in working with RESTful APIs and webhooks to enable backend communication
• Knowledge of cloud technologies such as AWS, Google Cloud AI, or Azure AI services for document processing and AI model deployment.
• Experience with Google Cloud Platform (GCP), including Google Cloud Functions, App Engine, and Firestore for deploying chatbots.
 
Call 502-379-4456 Ext 100 for more details. Please provide Requirement id: 154989 while calling.
 
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(Analyst: Python Scripting, JAVA SCRIPT, C++, Data Bricks Unit Testing Restful Api GCP in Lansing, MI)
     
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