Artificial Intelligence Chatbot Engineer for Multiple Locations across USA

We are looking to hire an AI Chatbot Engineer to join the Verizon System of Engagement Team.

Any visa is fine as long as it meet the below skills

Send resumes to :

  • Lead and develop Chatbot conversational Flows in utilizing in-house and vendor products for solving customer’s problem and increasing customer satisfaction.
  • Develop and lead customer facing applications that will be driven by chatbots across Agent Assist/Mobile/Desktop.
  • Participate in IT security process for application assessment and providing the fixes and remedy for the identified issues.
  • Lead projects, Coordinate development activities, ensure timely delivery of modules to business with good quality and report project status to management.
  • Coordinate application architecture and technology initiatives to ensure adoption of proper technology for application development.
  • Manage application initiatives, schedule and align business projects working with CAM and business sponsors.
  • Application management, handling customer escalations, production change controls and ongoing application maintenance.
  • Coordinate activities to diagnose and resolve customer and other production issues by working with other IT teams and business partners.
  • Ensure proper change control procedures are followed complying with IT change management
  • Business communications and relationships with other IT, Network, Marketing, Products and Revenue Assurance teams.
  • Communicate effectively with business sponsors and other partner teams to maintain healthy working relationship.
  • Exchange and share information about product, pricing and promotions as needed to fulfill business needs and to keep IT applications up to date.
  • Keep up to date with new technology to provide suggestions on technology directions to management.
  • Help management in developing future strategies for IT Applications, development methodologies and technology solutions.

What we’re looking for…

You’ll Need To Have

  • Bachelor’s degree or four or more years of work experience.
  • Four or more years of relevant work experience.
  • Experience in programming with Java & J2EE Technologies.
  • Experience on NLP/NLU.
  • Experience with Artificial Intelligence / Machine learning methodologies.
  • Experience on Google Dialog Flow.
  • Experience on D-Tree implementation.
  • Experience with Micro services architecture and Springboot development.

Even Better If You Have

  • A Degree.
  • Mobile/Desktop application development experience.
  • Experience on implementation of Conversational Chatbots.
  • Experience with chat platforms like Nuance/Live Person.
  • Experience with DevOps tools- Jenkins, Git, Ansible, Atlassian products-(Jira, Bitbucket).
  • Experience with JWT and Oauth Framework.
  • Experience with Social Media handles and integration with Google Dialog Flow.
  • Experience with application performance tuning and monitoring.
  • Experience in using messaging / JMS.
  • ExperienceinAWS implementations.
  • Experience with in-memory data store and cache service.
  • Experience in Unix/Linux operating systems.
  • Knowledge of shell scripting.

Direct Client …Multiple Roles for locations : WA, NJ, VA, OR in USA

I need the following resources urgently….. any visa is fine as long as they meet our criteria….

Do shares resumes to :


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Machine Learning Operationalization Resources – 4 Positions

JD: MLOPS Tech Support person will perform following activities.

  1. Provide quick help to Data Scientists in resolving issues with Jupyter notebook, python scripts, issues with programming logic and adding appropriate python libraries to develop models for Natural Language Processing and Machine Learning in the enterprise customer support space.
  2. Provide required data for analysis and perform quick data sanity checks on the raw data.
  3. Provide customer service including responding to the tickets, classifying ticket issues, engaging conversations with Data Scientists.
  4. Help Data Scientist to Build, test and deploy ML applications
  5. Create and manage ML infrastructure in the Dev and UAT regions
  6. Manage data pipelines to prep data in Dev region
  7. Provide support to Data Scientists to run experiments and improve models


  1. (Required) Bachelors in computer science with focus on machine learning and natural language processing
  2. Strong in problem solving, object oriented design, data structures, algorithms and other computer science fundamentals
  3. Understanding building and deploying production level applications related to machine learning and natural language processing
  4. Strong programming skills in Python and other object oriented programming languages (Java, Scala, C++, etc.)
  5. Knowledge in machine learning and statistics (classification, regression, recommendation, clustering, boosting, graphical models, etc.)
  6. Exposure to deep learning frameworks (Tensorflow, PyTorch, Theano, CNTK, Mxnet, Keras, etc.)