What are the responsibilities and job description for the Programmer Analyst - Senior AI / Java Developer position at Zenfreed, LLC?
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.
Requirements
5 years :
- TensorFlow, PyTorch, Keras, or Scikit-learn.
- Microservices.
- SpaCy, NLTK, or Hugging Face’s
- Tesseract, Google Vision API, or AWS Textract.
- Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools
- RESTful APIs and webhooks
- SQL, R, and / or Pandas.
- Cloud computing and software development.
- Software development in Python.
- Software development in Java.
- Software development in JavaScript.
- Implementing core Artificial Intelligence (AI) and Machine Learning (ML) concepts.
- Designing, building, and managing Google Cloud Platform (GCP) solutions.
- Projects development using Angular / React JS, JavaScript framework.
- Programming in the JBOSS Enterprise SOA environment including JBOSS Workflow .
- Using CMM / CMMI Level 3 methods and practices.
- Implemented agile development processes including test driven development.
- Using CMM / CMMI Level 3 methods and practices.
- Implemented agile development processes including test driven development.
3 years :
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.
Minimum Education
Location
Additional Requirements
Employment Terms
About Zenfreed
At Zenfreed, we are more than an IT company. We bridge the gap between people wanting to do the work they were meant to do and organizations needing the right talent.
We are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Benefits
We understand a comprehensive benefits package is crucial to employment satisfaction. We offer medical, dental and vision coverage options for all employees.
