AI​/ML Engineer

About the Role:

At Phaedon, we are revolutionizing how companies engage with their audiences and are passionate about sparking participation to drive growth for both our clients and our employees. Phaedon is a data-driven, tech-enabled marketing organization with a breadth of capabilities that go beyond our competitors and redefine traditional industry archetypes. We have a history of delivering game-changing results for notable brands across advanced analytics, loyalty technology and services, marketing communications, and experience transformation to bring intelligent imagination and solve our clients' biggest business and brand challenges.

And every role at Phaedon has an integral part to play in fulfilling this vision.

This is an excellent opportunity for an innovator and problem solver who thrives at the intersection of AI, cloud engineering, and product development. We are seeking an AI/ML Engineer to join our analytics and product development team. You will be a key member of our team, responsible for building, deploying, and scaling AI-powered data products and analytics solutions that solve real client challenges.

At Phaedon, we recognize that exceptional talent comes with diverse experiences. The final title and compensation will be thoughtfully determined using factors including but not limited to relevant work experience, skills, certifications and competencies that align to the specified role.

• 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

• Work directly with clients to understand business requirements and translate them into product requirements and technical solutions
• Present product requirements, user flows, and technical findings and recommendations to client stakeholders with clarity and professionalism
• Conduct exploratory data analysis and deliver actionable insights through clear visualizations and reports
• Collaborate with client teams to ensure successful implementation and adoption of analytics solutions
• 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
• Create and maintain Infrastructure-as-Code (IAC) using Terraform, Pulumi and Cloud Formation
• Build data pipelines that synthesize complex datasets from multiple sources into actionable insights

• Implement error-proofing strategies and robust testing frameworks including integration testing
• Develop CI/CD pipelines for automated deployment and model versioning
• Create monitoring and logging solutions for production AI systems
• Ensure security best practices for AI applications and data handling

This role is based out of our office in the Designer's Guild building in the heart of Minneapolis' North Loop neighborhood. We embrace a hybrid model with three in-office days per week to ensure a mix of collaboration and flexibility to support our employees' success.

• 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 cloud engineering
• Strong experience with AWS services, particularly Bedrock, Sage Maker, Lambda, Glue, and Athena
• Proficiency in AI implementation, model deployment, and productionalization
• Proven experience of authoring product requirement documents, user workflows, and technical flows
• Knowledge of Infrastructure-as-Code (Terraform, Cloud Formation)
• Experience with source control, automated deployment pipelines (Git, Docker)
• Proven experience building and deploying ML models with various methodologies
• Client-facing experience in analytics or consulting environment
• Strong presentation and communication skills for technical and non-technical audiences

• Programming: Advanced Python (including AI/ML libraries like transformers, langchain), SQL, Boto3
• Cloud Services: AWS ecosystem with focus on data and AI services
• Visualization:
  
  Experience with Tableau, Power
  
  BI, or Quick Sight
• Development Practices: Object-oriented programming, testing frameworks, CI/CD

• Experience with vector databases and RAG implementations
• Knowledge of LLM fine-tuning and deployment strategies
• Familiarity with MLOps practices and model versioning
• Experience with API development and microservices architecture
• Background in professional services or consulting environments
• Experience with AWS data lake tools and architecture
• Previous experience in client service roles within analytics or technology consulting

Please note that we are not offering sponsorship of…