Data Science Senior Analyst/AI 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.

• Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field is required. Master’s 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