Job Title
Senior Data Science Analyst/AI Engineer
Pay
$47–$53/hr
Location
Detroit, MI (Hybrid – 1 day onsite preferred; Local MI candidates only)
Type
Full-Time Contract (W2 Only – No C2C)
6 Months Open Ended
Summary
Join a high-impact Analytics Center of Excellence team focused on building scalable, production-ready AI solutions. This role is responsible for designing and deploying end-to-end backend systems that enable AI/ML use cases, leveraging modern AWS cloud services. You will partner with cross-functional teams to translate complex business needs into secure, scalable, and maintainable applications supporting intelligent automation and decision-making.
Key Responsibilities
- Design, develop, test, and deploy backend solutions supporting AI, machine learning, and automation use cases
- Build cloud-native and serverless applications using AWS services including Lambda, DynamoDB, OpenSearch, Neptune, Bedrock, and SageMaker
- Develop APIs and integration components to enable AI-driven workflows in production environments
- Create scalable data processing pipelines and application logic for model inference, search, retrieval, and analytics
- Collaborate with data scientists, engineers, and business stakeholders to define technical requirements and solution architecture
- Implement monitoring, logging, testing, and deployment strategies to ensure system reliability and performance
- Contribute to CI/CD pipelines and infrastructure-as-code practices
- Support secure development practices and ensure compliance with cloud security standards
- Document system architecture, technical designs, and operational procedures
- Participate in code reviews and team knowledge-sharing initiatives
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or related field
- Minimum 3+ years of experience in software engineering, AI engineering, data science, or machine learning engineering
- Strong proficiency in Python and backend development
- Hands-on experience with AWS services (Lambda, DynamoDB, OpenSearch, Neptune, Bedrock, SageMaker)
- Experience building and deploying production applications in cloud environments
- Solid understanding of APIs, event-driven architecture, and distributed systems
- Experience with CI/CD pipelines and automated testing frameworks
- Ability to troubleshoot, optimize performance, and support production systems
- Strong communication skills with ability to explain technical concepts to diverse audiences
- Ability to work independently and manage priorities effectively
Preferred Qualifications
- Master’s degree in a related field
- Experience supporting AI/ML or intelligent automation solutions
- Knowledge of cloud security, reliability, and performance best practices
- Experience with large-scale data processing and model deployment workflows
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