Description

  •  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.

 

Skill Descriptions:

  • 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

Key Skills
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