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Matt Wallaert
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Industrial Operations Engineer - B

Capgemini

Capgemini

Operations
India
Posted on Nov 13, 2024

Job Description

Dialogflow-Conversational AI Engineer | 4 TO 6 Years | Bangalore

Responsibilities: -

  • Serve as a point of escalation for complex technical issues related to Dialogflow CX implementations.
  • Analyse and diagnose escalated problems, working closely with development and engineering teams to provide timely resolutions.
  • Collaborate with cross-functional teams to identify and address root causes of recurring issues and implement preventive measures.
  • Maintain clear and concise communication with customers throughout the escalation process.
  • Proactively identify and address recurring issues by collaborating with Tier 1 and Tier 2 support teams to improve knowledge transfer and prevent escalations.
  • Work with product managers and engineers to translate customer insights into actionable product improvements.
  • Deep dive into different metrics and charts available in the Dialogflow Analytics and solve potential issues proactively.
  • Identify trends and patterns in user interactions and inform the enhancements in conversation design and overall user experience.
  • Analyse customer feedback and escalations to identify potential bugs, feature gaps, and areas for product improvement in Dialogflow.
  • Understand APIs, integrations, and common deployment patterns for Dialogflow agents.
  • Contribute to the development and maintenance of knowledge base articles and best practices for Dialogflow escalation support.
  • Leverage Dialogflow's A/B testing feature to experiment with different versions of your agent's responses, intents, and entities.
  • Analyse historical data and trends to proactively identify potential risks and areas for improvement.
  • Using M/L concepts to interpret chatbot performance and identifying potential biases.
  • Stay up to date with the latest Dialogflow releases and feature updates.

Primary Skills

Qualifications: -

  • Bachelor’s degree in computer science, Software Engineering, or related field (preferred).
  • 4+ years of experience in development/technical support role on cloud platform.
  • 3+ experience in designing, implementing, integrating and supporting the conversational interfaces using Dialogflow CX
  • Strong programming skills in languages such as Python, JavaScript, or Node.js.
  • Possess in-depth knowledge of Dialogflow architecture, features, limitations, and best practices.
  • Strong understanding of natural language processing (NLP) concepts and machine learning principles (a plus).
  • Proven ability to analyse complex technical problems, diagnose root causes, and develop solutions.
  • Understanding of serverless computing concepts and Google Cloud Platform services
  • Strong written and verbal communication skills, adept at explaining complex technical concepts to non-technical audiences.
  • Prior experience in design, develop, implement and troubleshooting of IVR solution.
  • Experience with SQL/NoSQL databases and API Integration.
  • Hands on experience using in Cloud Logging features and functionalities.
  • Experience with knowledge base creation and documentation writing.
  • Experience working with bug tracking systems and development teams.
  • Experience in DevOps and CI/CD pipeline.
  • Familiarity with data analysis basics like descriptive statistics and data visualization

Preferred Skills: -

  • Dialogflow & GCP certification is a plus.
  • Good Knowledge of machine learning concepts and techniques
  • Familiarity with Generative AI Framework (a plus)
  • Experience on Genesys/Cisco/Avaya/Amazon Connect Contact Center solution.
  • Vertex AI experience (a plus)
  • Hands-on involvement in Point of Sale (POS) integration (a plus).

Skills (competencies)