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Open nowPosted 539 days ago

Python Chatbot Developer

Codersbrain

Where
Mumbai
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Your applicationOpen nowPython Chatbot DeveloperCodersbrain · Mumbai

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Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 539 days ago

The posting

Job Title: Python Developer (Chatbot Implementation)\ Location: Pune\ Job Type: Full-Time

Position Overview:

We are looking for a highly motivated and skilled Python Developer with 4-5 years of experience to help design and implement chatbots for our enterprise clients. As a developer, you will be responsible for developing, deploying, and maintaining conversational AI systems using modern tools, frameworks, and cloud technologies. You will collaborate closely with other developers, data scientists, and UI/UX teams to create seamless, efficient, and user-friendly chatbot solutions that drive business value.

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Key Responsibilities:

  • Chatbot Development: Design, implement, and deploy AI-driven chatbots using Python, leveraging frameworks such as Rasa, Dialogflow, or Microsoft Bot Framework.
  • NLP and AI Integration: Integrate Natural Language Processing (NLP) models to build chatbots that can understand, process, and respond to user input effectively.
  • Backend Development: Develop and maintain backend systems using Python frameworks (e.g., Flask, Django, FastAPI) to handle user queries and API integrations with chatbot services.
  • Database Integration: Design, implement, and manage databases (e.g., MySQL, PostgreSQL, MongoDB) to store conversation data and ensure secure data handling.
  • Cloud Deployment: Deploy and manage chatbot systems on cloud platforms such as AWS (Lambda, EC2, S3), Google Cloud, or Azure to ensure high availability and scalability of chatbot applications.
  • API Integration: Work with RESTful APIs or GraphQL to integrate third-party services (e.g., social media platforms, payment systems) with chatbots.
  • Continuous Improvement: Optimize chatbot performance and functionality through user feedback, A/B testing, and continuous retraining of NLP models.
  • Testing and Debugging: Write unit and integration tests to ensure the reliability and performance of chatbot systems. Participate in debugging and troubleshooting to resolve issues promptly.
  • Collaboration: Work closely with cross-functional teams, including data scientists, UI/UX designers, and project managers, to ensure the successful delivery of chatbot solutions aligned with business goals.

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Required Skills and Qualifications:

  • 4-5 years of hands-on experience in Python development, with a focus on building and deploying chatbot systems.
  • Expertise in Chatbot Frameworks: Experience with chatbot frameworks such as Rasa, Dialogflow, Microsoft Bot Framework, or other conversational AI platforms.
  • Natural Language Processing (NLP): Strong understanding of NLP concepts and hands-on experience using libraries such as spaCy, NLTK, Hugging Face, BERT, or GPT.
  • Backend Development: Proficiency in Python-based web frameworks such as Flask, Django, or FastAPI for building API endpoints and backend systems.
  • Database Knowledge: Experience with relational and non-relational databases (e.g., MySQL, PostgreSQL, MongoDB) for data storage and management.
  • Cloud Platforms: Familiarity with cloud platforms such as AWS (Lambda, EC2, S3), Google Cloud, or Microsoft Azure for deploying and managing applications.
  • Version Control: Proficiency in using Git for version control and collaboration.
  • API Integration: Experience integrating third-party services (e.g., social media APIs, payment gateways) into chatbot solutions via REST APIs or GraphQL.
  • Testing and Debugging: Experience writing unit and integration tests for backend services and chatbot features.
  • Communication Skills: Strong written and verbal communication skills to collaborate with cross-functional teams and convey technical concepts to non-technical stakeholders.

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Preferred Qualifications:

  • Experience with containerization and orchestration tools such as Docker and Kubernetes.
  • Knowledge of additional AI/ML techniques and frameworks (e.g., TensorFlow, PyTorch) to enhance chatbot intelligence.
  • Hands-on experience with web socket integration for real-time chatbot interactions.
  • Familiarity with CI/CD pipelines and DevOps practices for continuous deployment and automation.
  • Previous experience working in an agile development environment using tools such as Jira, Trello.
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