American Express Hiring Software Engineer Fresher

American Express is looking to hire smart and detail-oriented Software Engineers to join their dynamic development team.

American Express Hiring Details

Job Overview

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

Job Description

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

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proven experience (X years) in chat data analysis, NLP, and Python development.
• Strong proficiency in Python programming and familiarity with relevant libraries (e.g., NLTK, spaCy).
• Experience with Kibana or similar data visualization tools.
• Solid understanding of UI development principles and experience with front-end technologies (e.g., HTML, CSS, JavaScript).
• Excellent problem-solving skills and ability to thrive in a fast-paced, collaborative environment.
• Strong communication skills and ability to effectively convey technical concepts to non-technical stakeholders.

Preferred Qualifications:

• Master’s degree in Computer Science or a related field.
• Experience with machine learning techniques and frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with chatbot development frameworks and platforms (e.g., Dialogflow, Rasa).
• Knowledge of Elasticsearch and related technologies.
• Previous experience in a SaaS or tech startup environment.

Benefits

• Competitive base salaries 
• Bonus incentives 
• Support for financial-well-being and retirement 
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) 
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
• Generous paid parental leave policies (depending on your location) 
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) 
• Free and confidential counseling support through our Healthy Minds program 
• Career development and training opportunities

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