Description

You will build and manage end-to-end AWS pipelines for client implementations.

Responsibilities

• Create and set up AWS pipelines using relevant services for real-time client implementation.
• Develop and deploy Lambda functions, integrating various AWS service endpoints.
• Apply GenAI techniques and employ efficient prompt engineering for solutions.
• Implement solutions leveraging NLP, Conversational Agents, and microservices exposure.
• Manage project delivery, communicating clearly to articulate and meet stakeholder expectations on time.

Required Skills

• 5+ years of hands-on experience with Python programming.
• Expertise in AWS services including Lambda, S3, CloudWatch, and Polly.
• Practical experience with AWS Connect, Lex, Transcribe, Translate, and RAQ.
• Proficiency in Flask APIs and working with Postgres databases.
• Familiarity with AI/ML algorithms, Data Science, and Model Tuning practices.
• Experience building and tuning conversational agents.
• Demonstrated ability to manage stakeholder expectations and deliver quality results.

Key Skills

Education

Bachelor's degree