Innovation is at the heart of everything we do. Every single day, our technologists enable our customers around the globe to achieve their goals. They design and deliver American Express infrastructure and applications across all markets and business units.

Job Designation :  Software Engineer

Salary : 6 LPA – 10 LPA

Qualification : Engineering Graduate

Experience : Freshers / 0 – 2 years

Skill Set :

  1. Sound knowledge of programming languages C, C++, JAVA, JSP, HTML and Python.
  2. Strong proficiency in Python programming.
  3. Solid understanding of UI development principles.
  4. Familiarity with chatbot development frameworks and platforms (e.g., Dialogflow, Rasa).
  5. Expertise with front-end technologies (e.g., HTML, CSS, JavaScript).
  6. Familiar with machine learning techniques and frameworks (e.g., TensorFlow, PyTorch).
  7. Familiarity with relevant libraries (e.g., NLTK, spaCy).
  8. Experience with Kibana or similar data visualization tools.
  9. Comprehensive knowledge of specific business area for application development.
  10. Good verbal communication skills.

Job Description : 

As an Engineer I specializing in chat data analysis and NLP, you will play a pivotal role in enhancing our chatbot’s capabilities and user experience.

  1. Engage in Chat Data Analysis: Utilize advanced data analysis techniques to uncover hidden use cases, identify anomalies, and derive actionable insights from chat data.
  2. Python Code Development: Build and maintain robust Python code to engineer new features and functionalities, ensuring scalability and efficiency in our systems.
  3. NLP Pipeline Development: Develop and enhance Natural Language Processing (NLP) pipelines to improve the chatbot’s understanding and response accuracy.
  4. Kibana Dash-boarding: Create visually appealing dashboards in Kibana for effective chat data visualization, enabling stakeholders to gain valuable insights at a glance.
  5. Splashboard UI Development: Actively contribute to the development of the Splashboard UI, collaborating with cross-functional teams to ensure a seamless user experience.
  6. Prompt Tuning and Finalization: Assist in prompt tuning and finalization for our 2.0 system, leveraging chat data insights to optimize prompt effectiveness and user engagement.

Location : Gurugram, Haryana, India

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