AI/ML Engineer

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In-Person Interview Required After Video !
Description:

Hands-on Generative AI and LLM expertise, including AI agents, Retrieval-Augmented Generation (RAG), Amazon Bedrock, and enterprise AI integration.

Strong data architecture and engineering skills, including designing data pipelines, data models, integrations, and scalable processing of large datasets.

Strong Python and PySpark development skills for data processing, analytics, automation, and AI-enabled applications.

Experience designing AI-enabled products, translating business and product requirements into practical technical architectures and implementation approaches.

Strong API and systems integration experience, including REST APIs and connecting applications, data platforms, AI services, and enterprise systems.

Experience with modern cloud-native and serverless architectures, including AWS Lambda, Glue, Step Functions, containers, and event-driven workflows.