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# Senior Data Science Analyst/AI Engineer

- **Company:** Epitec, Inc.
- **Location:** Detroit, MI, United States
- **Experience:** Expert
- **Salary:** $97,760.0 - $110,240.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Business Logic, Big Data, Cloud Computing Security, Cloud Engineering, Code Review, Information Systems, Document Management Systems, Distributed Systems, Amazon DynamoDB, Python (Programming Language), Machine Learning, Secure Coding, Software Engineering, Data Logging, Cloud Platform System, Reliability of Systems, Backend, Event Driven Architecture, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Data Pipelines, Serverless Computing
- **Published:** June 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5d016d07cab050ec

## About the Role

Do you have a Master's degree?, * 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

## Description

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., * 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


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