Phaedon is seeking an AI/ML Engineer to build, deploy, and scale AI-powered data products and analytics solutions to solve real client challenges and drive growth for both clients and employees.
Requirements
- Strong experience with AWS services, particularly Bedrock, SageMaker, Lambda, Glue, and Athena
- Proficiency in AI implementation, model deployment, and productionalization
- Knowledge of Infrastructure-as-Code (Terraform, CloudFormation)
- Experience with source control, automated deployment pipelines (Git, Docker)
- Proven experience building and deploying ML models with various methodologies
- Advanced Python (including AI/ML libraries like transformers, langchain)
- Experience with vector databases and RAG implementations
Responsibilities
- Design, build, and deploy AI-powered data products and analytics solutions using cutting-edge technologies
- Implement and productionalize AI/ML models using AWS Bedrock and other AI services
- Transform proof-of-concept work into robust, production-ready systems
- Develop RAG (Retrieval-Augmented Generation) systems for AI applications
- Build cloud-native applications with focus on scalability, reliability, and performance
- Architect and maintain data lake solutions using AWS native tools including Lake Formation, Glue, and Athena
- Develop automation and monitoring solutions using Lambda and other AWS services
Other
- Bachelor's degree in data science, computer science, computer engineering, or related field
- 5+ years of hands-on experience in relevant skillsets including Python development and data engineering
- Client-facing experience in analytics or consulting environment
- Strong presentation and communication skills for technical and non-technical audiences
- Must currently be legally authorized to work in the U.S. without sponsorship for employment visa status
