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About the role
Job Title: DHHS - Programmer Analyst 4 - AI Developer (147437) Client Title: Lansing, MI - IT - DTMB - Agency Services - DHHS - Programmer Analyst 4 - AI Developer (147437) Job ID: 147437 Duration: 1 Year with Possible Extension Location: 235 S. Grand Ave Lansing, MI Work Mode: Hybrid (2 Days/ Week) Interview Mode: MS Teams Last Sub Date: 09/10 at 5 PM EST || 09/11 at 10 AM EST Client: DHHS (State of Michigan Department of Human and Health Services)
Need Only Local to Lansing MI in and around 1 Hour will allow to apply
Manager Note: This is a repost of 144516. Please do not resubmit any candidates previously rejected after client review. The State of Michigan is looking for: Programmer Analyst 4 - AI Developer (147437) Consultant must be local to Lansing MI or 1 Hour Drive Distance Candidates from any previous submission can be resubmitted to this posting as requirements have changed. Please make sure you are focusing on the Top Skills below. Interview Process: o Candidates submitted MUST be willing to come onsite (Lansing, MI) for interviews. o 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 Mins of Lansing, MI ONLY. o Position will be hybrid, in office 2 days a week upon start and there is NO REMOTE ONLY option. RTR need to Acknowledge in this way only : I, “Your Full Legal Name” give "THOUGHTWAVE SOFTWARE AND SOLUTIONS INC" permission to submit my resume to Posting ID 147437 and I fully understand and agree with the hybrid work environment.”
Thank you, “Your Full Legal Name” Will close submissions on: 09/10 at 5 PM EST || 09/11 at 10:00 am EST.(Portal Closing Time) Please attach a separate Reference Page to your bid (not within resume) that includes at least 2 professional references! Be sure to include the reference’s full name, phone number, email, affiliation to the candidate (Company Name, Title, Relationship, etc). Full Job Description Attached
Top Skills & Years of Experience: 3+years in TensorFlow, PyTorch, Keras, or Scikit-learn. 3+ years in Microservices. 3+years in SpaCy, NLTK, or Hugging Face’s 3+years in Tesseract, Google Vision API, or AWS Textract. 3+years in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools 3+years in RESTful APIs and webhooks 3+years in SQL, R, and/or Pandas. 3+ years in cloud computing and software development. 3+ years software development in Python, Java, JavaScript. 3+ years implementing core Artificial Intelligence (AI) and Machine Learning (ML) concepts. 3+ years designing, building, and managing Google Cloud Platform (GCP) solutions. 3+ years in projects development using Angular/React JS, JavaScript framework. 3+ years programming in the JBOSS Enterprise SOA environment including JBOSS Workflow. 3+ years using CMM/CMMI Level 3 methods and practices. 3+ years implemented agile development processes including test driven development. 3+ years' Experience creating CI/CD pipelines using Azure DevOps.
Resource Information Needed from BRM Teams Resource Name: Contract position--PA4 Vacancy
Job Title: Programmer Analyst 4 - AI/Java Developer
Position Justification (Why this resource is being procured and which MDHHS applications/projects/other areas this resource will be working on) 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.
Position Summary (Detail Position Summary in Bullet Point or Descriptive Statement) • Experience in programming languages such as Python, Java, JavaScript (Node.js), and/or C++. • Experience in Oracle/Data Bricks/Elastic/ELK. • 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 Face’s 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. • Ability to design effective conversational flows, manage dialogue context, and improve user satisfaction. • Familiarity with agile development methodologies and version control systems like Git. • Strong problem-solving and analytical skills with a focus on continuous improvement.
Skill Descriptions
(8-10 or more Required/Desired/Nice to Have skills in Bullet Points identified by their ranking) • 3+years in TensorFlow, PyTorch, Keras, or Scikit-learn. • 3+ years in microservices. • 3+years in SpaCy, NLTK, or Hugging Face’s • 3+years in Tesseract, Google Vision API, or AWS Textract. • 3+years in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools • 3+years in RESTful APIs and webhooks • 3+years in SQL, R, and/or Pandas. • 3+ years in cloud computing and software development. • 3+ years software development in Python, Java, JavaScript. • 3+ years implementing core Artificial Intelligence (AI) and Machine Learning (ML) concepts. • 3+ years designing, building, and managing Google Cloud Platform (GCP) solutions. • 3+ years in projects development using Angular/React JS, JavaScript framework. • 3+ years programming in the JBOSS Enterprise SOA environment including JBOSS Workflow. • 3+ years using CMM/CMMI Level 3 methods and practices. • 3+ years implemented agile development processes including test driven development. • 3+ years' Experience creating CI/CD pipelines using Azure DevOps.
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