Artificial Intelligence Specialist

ONLY FOR LOCAL MICHIGAN CANDIDATE This is not a typical Java developer role. Please read job description carefully. Knowledge of cloud services to store, analyze, and manage chatbot data. • Experience in programming languages such as Python, Java, JavaScript (Node.js), and/or C++. • 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. • 5+years in TensorFlow, PyTorch, Keras, or Scikit-learn. • 5+years in SpaCy, NLTK, or Hugging Face’s • 5+years in Tesseract, Google Vision API, or AWS Textract. • 5+years in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools • 5+years in RESTful APIs and webhooks • 5+years in SQL, R, and/or Pandas. • 5+ years in cloud computing and software development. • 5+ years software development in Python, Java, JavaScript. • 5+ years implementing core Artificial Intelligence (AI) and Machine Learning (ML) concepts. • 5+ years designing, building, and managing Google Cloud Platform (GCP) solutions. • 5+ years in projects development using Angular/React JS, JavaScript framework. • 5+ years programming in the JBOSS Enterprise SOA environment including JBOSS Workflow . • 5+ years using CMM/CMMI Level 3 methods and practices. • 5+ years implemented agile development processes including test driven development. • 3+ years Experience or Knowledge on creating CI/CD pipelines using Azure DevOps.