Remote full time opportunity for Data Engineer / Data Scientist (AI/ML)

Hello,

My name is Sreeja and I represent TestingXperts Inc. TestingXperts is a Specialist QA & Software Testing Company, and an Independent Software Testing division of Damco Group, which is a leading IT Solutions and Services company working with Fortune Enterprises globally. Inheriting the virtues of job quality and optimal user satisfaction from Damco Group, TestingXperts aims at promoting the ethics of connected innovation, thereby seeding the integral values in our employees and achieving unmatched contentment in our clients. To know more about Testingxperts Inc., please visit our website .

If you are interested in the opportunity listed below, please forward your updated resume along with current contact information, or perhaps you can recommend someone who would be interested in this position

We are seeking an experienced Data Engineer / Data Scientist (AI/ML) to design, build, and deploy scalable data pipelines and AI/ML solutions on AWS. The ideal candidate will have strong expertise in Python development, ETL orchestration, AWS data services, Large Language Model (LLM) application engineering, and cloud-native architecture. The role requires hands-on experience in building production-grade AI solutions, implementing robust testing practices, and collaborating with cross-functional teams to deliver business-critical data and AI initiatives.

Key Responsibilities

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  Design, develop, and maintain scalable ETL and data processing pipelines using AWS services such as Glue, Lambda, and Step Functions.
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  Build and optimize data ingestion, transformation, and orchestration workflows across structured and unstructured data sources.
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  Develop and deploy AI/ML and Generative AI solutions leveraging AWS AI services and foundation models.
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  Design and implement LLM-powered applications using Amazon Bedrock, Bedrock Agents, and Strands Agents Framework.
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  Build Retrieval-Augmented Generation (RAG) solutions, intelligent document processing workflows, and conversational AI applications.
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  Develop APIs, microservices, and backend services using Python.
  Work with Amazon DocumentDB, Aurora, and other cloud-native databases for scalable application development.
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  Collaborate with Data Engineers, Data Scientists, Architects, Product Owners, and Business Stakeholders to deliver AI-driven solutions.
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  Ensure adherence to software engineering best practices, code quality standards, security, compliance, and operational excellence.
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  Implement automated testing, validation, monitoring, and deployment processes for data and AI applications.
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  Troubleshoot and optimize data pipelines, AI models, and application performance.