Sr. AWS Data Scientist

Houston, MS - USA

Monthly Salary: Not Disclosed

Posted on: 3 days ago

Vacancies: 1 Vacancy

Job Summary

We are seeking a highly skilled AWS Data Scientist with strong experience in Python Amazon Bedrock and modern front-end development using . 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.

Key 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 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).

Required Qualifications

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 (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.

Key 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 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).

Required Qualifications

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 (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.