AI Developer/Java

Job: AI Developer/Java

Location: Lansing, MI ( Hybrid)

Onsite interview

Candidate must be local to MI

Job Requirement:

• 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.

• 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 (Google Cloud Platform) 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.