Data Scientist-Artificial Intelligence

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Job Summary

Data Scientist – Artificial Intelligence

Amazon Connect

Key Responsibilities

• Design and develop Amazon Connect contact flows including voice and SMS integrations.
• Build conversational interfaces using Amazon Lex, integrate with Amazon Connect and other AWS services.
• Develop and deploy serverless applications using AWS Lambda, API Gateway, DynamoDB, S3, and Kinesis.
• Monitor and troubleshoot solutions using Amazon CloudWatch.
• Implement infrastructure as code using Terraform and manage access with AWS IAM.
• Collaborate with data engineers and ML engineers to integrate AI/ML models into customer engagement platforms.
• Analyze call center data to uncover patterns and insights for automation opportunities.
• Work in an Agile development environment and contribute to continuous integration and continuous deployment (CI/CD) pipelines.
  

Required Skills & Qualifications

• 5–8 years of overall experience in Data Science / AI / Cloud Development.
• Strong experience with Amazon Connect including contact flow design, routing profiles, prompts, and integrations.
• Proficient in AWS services such as Lambda, Amazon Lex, Kinesis, S3, DynamoDB, API Gateway, and CloudWatch.
• Hands-on experience with Terraform for infrastructure automation.
• Strong programming skills in Python and experience building APIs.
• Solid understanding of machine learning concepts, NLP, and AI use cases in customer service.
• Familiarity with IAM policies and security best practices in AWS.
• Excellent communication skills and ability to work collaboratively in cross-functional teams.
  

Good To Have

• Experience with CI/CD tools and DevOps practices.
• Knowledge of analytics tools for call center data like Amazon QuickSight or similar.
• Experience with multi-language support and regional routing in Amazon Connect.