Data Science Senior AnalystAI Engineer

Our Client a Health Insurance company is looking for a Data Science Senior Analyst/AI Engineer for their Detroit MI/ Hybrid location.

Responsibilities:

• Design develop test and deploy end-to-end backend solutions that support AI machine learning and intelligent automation use cases.
• Build cloud-native and serverless applications using AWS services including Lambda DynamoDB OpenSearch Neptune Bedrock Sage Maker and related tools.
• Develop APIs workflow automation and integration components that enable AI-powered functionality in production environments.
• Create scalable data processing and application logic to support model inference retrieval search and decision-support workflows.
• Support the design and implementation of AI/ML solutions through software engineering data engineering and model integration practices.
• Partner with data scientists engineers architects and business stakeholders to define technical requirements and solution design.
• Implement monitoring logging testing and deployment practices to ensure reliability performance and maintainability of production systems.
• Contribute to CI/CD pipelines infrastructure-as-code practices and secure software development standards.
• Document architecture technical designs implementation details and operational procedures.
• Participate in code reviews technical discussions and knowledge-sharing activities to support team effectiveness and solution quality.

• Bachelors degree in Computer Science Engineering Data Science Information Systems or a related field is required. Masters degree preferred.
• Minimum of three (3) years of related experience in software engineering data science AI engineering or machine learning engineering is required.
• Demonstrated experience building and deploying production applications in cloud environments is required.
• Experience developing backend services and integrating AWS-native services is required.
• Prior experience supporting AI/ML solutions or intelligent automation initiatives is preferred.
• Strong proficiency in Python and backend application development is required.
• Strong hands-on experience with AWS-native services including Lambda DynamoDB OpenSearch Neptune Bedrock and SageMaker is required.
• Knowledge of AI engineering machine learning deployment and production support practices is required.
• Experience with APIs event-driven architecture and distributed systems is required.
• Understanding of cloud security reliability and performance best practices is preferred.
• Experience with CI/CD pipelines automated testing is required.
• Ability to diagnose issues optimize performance and support production systems is required.
• Strong written and verbal communication skills including the ability to explain technical concepts to both technical and non-technical audiences are required.
• Ability to work independently manage priorities and deliver within established timelines is required.
• Basic proficiency in Microsoft Word Excel and PowerPoint is required.

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities