Title: AI Developer
Location: Lansing MI (hybrid - 2 days per week)
Description:
Our client is looking for an AI Developer to be responsible for providing ongoing maintenance and support of GCP 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.
Skills Required
3 years in the following:
- Experience in TensorFlow PyTorch Keras or Scikit-learn.
- Experience with microservices.
- Experience with SpaCy NLTK or Hugging Faces
- 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 (GCP) solutions.
- Experience in projects development using Angular/React JS JavaScript framework.
- Bachelors Degree in a related field
Skills Desired
- Experience in programming languages such as Python Java JavaScript () 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 Faces 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.