American Express helps  international businesses manage risk, respond to new regulation, and develop new products whilst creating and nurturing effective partnerships across multiple key stakeholders across the organization.

American Express hiring fresher Software Engineer with good programming knowledge in SAS, R, Python, Hive, Spark, SQL, having strong proficiency in chat data analysis, NLP, solid understanding of UI development principles and experience with front-end technologies (e.g., HTML, CSS, JavaScript).

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Job Designation : Software Engineer – Data Analysis

Salary : 6 LPA – 10 LPA

Qualification :  Bachelor’s / Master’s Degree

Experience : Freshers / 0 – 2 years

Skill Set :

  1. Strong proficiency in Python programming and familiarity with relevant libraries (e.g., NLTK, spaCy).
  2. Solid understanding of UI development principles.
  3. Proficient in chat data analysis, NLP, and Python development.
  4. Familiar with machine learning techniques and frameworks (e.g., TensorFlow, PyTorch).
  5. Expertise with front-end technologies (e.g., HTML, CSS, JavaScript).
  6. Familiarity with chatbot development frameworks and platforms (e.g., Dialogflow, Rasa).
  7. Excellent problem-solving skills and ability to thrive in a fast-paced, collaborative environment.
  8.  Strong communication skills and ability to effectively convey technical concepts to non-technical stakeholders.

Job Description : 

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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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