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Senior AI Developer

GovServicesHub
Contract
On-site
Lansing, Michigan, United States


Job Location: Lansing, MI - Hybrid (2 days onsite, 3 days remote)

Note: This position requires a highly skilled Senior AI Developer with expertise in AI, machine learning, NLP, cloud computing, and chatbot development. Candidates must have strong software development experience in Python, Java, and JavaScript, along with hands-on expertise in Google Cloud AI services, RESTful APIs, and OCR solutions.

Job Description:

The Senior AI Developer will be responsible for developing and implementing AI/ML solutions to enhance intelligent systems. The role involves working with natural language processing (NLP) frameworks, optical character recognition (OCR) solutions, chatbot development, and cloud-based AI services. The candidate must have experience with full software development lifecycle (SDLC) methodologies, cloud computing, and microservices architecture. Additionally, expertise in building and managing AI models, data pipelines, and integrating AI with modern web frameworks is required.


Skill Matrix:

Skill
Required / Desired
Years of Experience
TensorFlow, PyTorch, Keras, or Scikit-learn
Required
5+ years
Microservices
Required
5+ years
SpaCy, NLTK, or Hugging Face’s
Required
5+ years
Tesseract, Google Vision API, or AWS Textract
Required
5+ years
Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools
Required
5+ years
RESTful APIs and webhooks
Required
5+ years
SQL, R, and/or Pandas
Required
5+ years
Cloud computing and software development
Required
5+ years
Software development in Python, Java, JavaScript
Required
5+ years
Implementing core Artificial Intelligence (AI) and Machine Learning (ML) concepts
Required
5+ years
Designing, building, and managing Google Cloud Platform (GCP) solutions
Required
5+ years
Projects development using Angular/React JS, JavaScript framework
Required
5+ years
Programming in the JBOSS Enterprise SOA environment including JBOSS Workflow
Required
5+ years
Using CMM/CMMI Level 3 methods and practices
Required
5+ years
Implemented agile development processes including test-driven development
Required
5+ years
Creating CI/CD pipelines using Azure DevOps
Required
3+ years