AI Developer with Java (8years)- Local to Michigan Candidates

Top Skills & Years of Experience:

• 3 years in TensorFlow, PyTorch, Keras, or Scikit-learn.

• 3 years in microservices.

• 3 years in SpaCy, NLTK, or Hugging Face’s

• 3 years in Tesseract, Google Vision API, or AWS Textract.

• 3 years in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools

• 3 years in RESTful APIs and webhooks

• 3 years in SQL, R, and/or Pandas.

• 3 years in cloud computing and software development.

• 3 years software development in Python, Java, JavaScript.

• 3 years implementing core Artificial Intelligence (AI) and Machine Learning (ML) concepts.

• 3 years designing, building, and managing Google Cloud Platform (GCP) solutions.

• 3 years in projects development using Angular/React JS, JavaScript framework.

• 3 years programming in the JBOSS Enterprise SOA environment including JBOSS Workflow.

• 3 years using CMM/CMMI Level 3 methods and practices.

• 3 years implemented agile development processes including test driven development.

• 3 years' Experience creating CI/CD pipelines using Azure DevOps.

Detail Position Summary in Bullet Point or Descriptive Statement)

• 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.