Description

You will build and manage end-to-end AWS pipelines for client implementations, including real-time integrations and GenAI solutions.

This role is on-site.

Responsibilities

• Create and configure AWS pipelines using Lambda, S3, CloudWatch, and Polly for real-time client implementations.
• Develop and deploy serverless functions, integrating various AWS service endpoints and microservices.
• Apply GenAI techniques and efficient prompt engineering to build solutions leveraging NLP and Conversational Agents.
• Implement solutions using AWS Connect, Lex, Transcribe, and Translate, ensuring robust microservices exposure.
• Manage project delivery and communicate clearly to meet stakeholder expectations and timelines.

Required Skills

• 5+ years of hands-on experience with Python programming.
• Expertise in AWS services: Lambda, S3, CloudWatch, and Polly.
• Practical experience with AWS Connect, Lex, Transcribe, Translate, and RAG (Retrieval-Augmented Generation).
• Proficiency in building 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.

Preferred Skills

• Bachelor's degree in Computer Science or related field.
• Experience with microservices architecture and exposure to complex client implementations.

Key Skills

Education

Bachelor's degree