Senior Data Science Analyst/AI Engineer

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 #INDPRO