Sr. AWS Data Scientist

American IT Systems • Houston, TX

1d

About The Position

We are seeking a highly skilled AWS Data Scientist with strong experience in Python, Amazon Bedrock, and modern front-end development using React.js. This role will focus on designing, building, and deploying data-driven and generative AI solutions on AWS, including large language model (LLM)–powered applications, analytics pipelines, and interactive user interfaces. The ideal candidate combines deep data science expertise with hands-on cloud engineering and full-stack development capabilities.

Requirements

• Strong experience as a Data Scientist or AI Engineer in AWS-based environments.
• Advanced proficiency in Python for data analysis, machine learning, and AI application development.
• Hands-on experience with Amazon Bedrock and foundation model integrations.
• Solid experience building front-end applications using React.js (JavaScript/TypeScript).
• Experience with AWS services such as SageMaker, S3, Lambda, API Gateway, DynamoDB, and IAM.
• Strong understanding of machine learning concepts, NLP, and generative AI architectures.
• Experience integrating APIs and building full-stack data or AI applications.

Responsibilities

• Design, develop, and deploy data science and AI/ML solutions on AWS, leveraging services such as Amazon Bedrock, SageMaker, Lambda, and API Gateway.
• Build and fine-tune machine learning and generative AI models using Python, including LLM-based workflows, prompt engineering, and retrieval-augmented generation (RAG) patterns.
• Integrate Amazon Bedrock foundation models into enterprise applications, ensuring scalability, security, and cost efficiency.
• Develop interactive web applications and dashboards using React.js to expose AI/ML insights and model outputs to business users.
• Create and maintain data pipelines using AWS services (S3, Glue, Athena, Redshift, or similar) to support analytics and model training.
• Collaborate with data engineers, cloud architects, and business stakeholders to translate requirements into production-ready AI solutions.
• Implement best practices for model governance, monitoring, versioning, and performance optimization in AWS environments.
• Support deployment automation using CI/CD pipelines and infrastructure-as-code (Terraform, CloudFormation, or CDK).

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed