Apply for AWS AI Data Engineer Job

5+ Years Relevant Experience

Must Have Skills

• Proficiency in programming languages such as Python, Scala, or similar
• Solid understanding of machine learning frameworks such as TensorFlow and PyTorch
• Strong experience in data classification, including the identification of PII data entities
• Knowledge and experience with retrieval-augmented generation (RAG) and agent-based workflows
• Deep understanding of how to re-rank and improve LLM outputs using Index and Vector stores
• Ability to leverage AWS services (e.g., SageMaker, Comprehend, Entity Resolution) to solve complex data and AI-related challenges
• Ability to manage and deploy machine learning models and frameworks at scale using AWS infrastructure
• Strong analytical and problem-solving skills, with the ability to innovate and develop new approaches to data engineering and AI/ML
• Experience with AWS ETL services (such as AWS Glue, Lambda, and Data Pipeline) to handle data processing and integration tasks effectively
• Experience in core AWS Services including AWS IAM, VPC, EC2, S3, RDS, Lambda, CloudWatch, CloudTrail
• Experience with data privacy and compliance requirements, especially related to PII data
• Familiarity with advanced data indexing techniques, vector databases, and other technologies that improve the quality of AI/ML outputs

Project Overview

• It’s one of the workstreams of Project Acuity
• PASD Data Platform includes centralized web application for internal PASD users across the Recruitment Business to support marketing and operational use cases
• Building a database at the patient level will provide significant benefit to PASD’s future reporting capabilities and engagement of external stakeholders

Role Scope / Deliverables

• Experienced AWS AI Data Engineer responsible for developing, managing, and optimizing data architectures that support AI and ML workflows
• Extensive experience in integrating large-scale datasets, building scalable and automated data pipelines, and working with advanced ML frameworks and tools
• Experience with AWS ETL services (such as AWS Glue, Lambda, and Data Pipeline) to handle data processing and integration tasks effectively