AI Developer

Overview

Hybrid
Depends on Experience
Contract - Independent
Contract - W2
Contract - 1 Year(s)

Skills

AI
TensorFlow
PyTorch
Keras
SQL
R
CI/CD pipelines
cloud

Job Details

Our client is looking for an AI Developer to be responsible for providing ongoing maintenance and support of Google Cloud Platform applications such as Document AI (DOC AI) within our department. The DOC AI is a Google Cloud product that is used to scan paper licenses, extract index information and images to FileNet and stored in a on-prem application called VERA. Changes are being made to enhance the stability and functionality of the systems.

Tasks

  • Perform 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.
  • Provide technical oversight to developers in the team that support other critical applications .
Knowledge, Skills and Abilities Required:
  • 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.
  • 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 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
  • 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.

NOTE: 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.

Location: Lansing, MI (hybrid 2 days per week)

Contract: 1+ years

Skills Required:

3+ years in the following:

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

Skills Desired A plus to have:

  • Experience in programming languages such as Python, Java, JavaScript (Node.js), and/or C++.
  • Experience in Oracle/Data Bricks/Elastic/ELK.
  • Experience with OCR (Optical Character Recognition) Tesseract, Google Vision API, or AWS Textract.
  • Proficiency with Natural Language Processing (NLP) tools like SpaCy, NLTK, or Hugging Face s Transformers for text-based document processing.
  • Knowledge of cloud technologies such as AWS, Google Cloud AI, or Azure AI services for document processing and AI model deployment.

*** Rate depends on experience

*** Candidates authorized to work in the US are encouraged to apply. We can accept H1b, , TN, and other valid work visas for IT. However, we cannot accept OPT or CPT visas at this time.

*** Companies submitting candidates should only submit direct W2 employees for this position.

Please submit your resume by using the "URL" below

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