Job Description
Our client, a Health Insurance company, is looking for a Data Scientist/AI Engineer for their Detroit, MI/Remote location.
Responsibilities:
Requirements:
Why Should You Apply?
Responsibilities:
- Under limited supervision, the AI Engineer is responsible for designing, developing, and deploying production-ready AI and machine learning solutions that address complex business needs.
- This role emphasizes end-to-end backend solution development, cloud-native architecture, and operational deployment using AWS services such as Lambda, DynamoDB, OpenSearch, Neptune, Bedrock, SageMaker, etc. The engineer partners with technical leads and business stakeholders to translate requirements into scalable, secure, and maintainable AI-enabled applications.
- Essential duties and responsibilities include the following. Other duties may be assigned.
- 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, SageMaker, 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.
Requirements:
- 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.
- The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this classification.
- They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified.
- This job description does not constitute a contract for employment.
Why Should You Apply?
- Health Benefits
- Referral Program
- Excellent growth and advancement opportunities
Numbers & Facts
| Location | Detroit, MI |
| Industry | Management Consulting Services |
| Salary | $43.32–$46.48 Per Hour |
| Company Size | 2,000 to 2,499 employees |
| Year Founded | 2000 |
| Website | https://www.iconma.com/ |
Benefits
401K, Employee Referral Program, Life Insurance
About Company
ICONMA is a global information consulting management firm providing Professional Staffing Services and Project-Based Solutions for organizations in a broad range of industries.
- Corporate Headquarters in Troy, Michigan; 20+ locations worldwide.
- Certified Woman-Owned Business Enterprise (WBE); certified by Women’s Business Enterprise National Council, National Women Business Owners Corporation (NWBOC); and California Public Utilities Commission (CPUC).
- Founded in 2000
- 2000+ Employees
The company was founded on the principle that success is derived from delivering high quality service and resources in the most responsive, flexible, and innovative way. ICONMA invests in people and resources with a single goal: To provide our customers with the highest quality service in the most responsive manner. Through its network of offices, ICONMA provides the resources to help clients maintain their competitive advantage.
Skills
- AWS Lambdaunmatched
- Amazon Web Services (AWS)unmatched
- Application Programming Interface (API)unmatched
- Artificial Intelligence (AI)unmatched
- Automationunmatched
- Best Practicesunmatched
- Cloud Applicationsunmatched
- Cloud Architectureunmatched
- Cloud Computingunmatched
- Code Reviewsunmatched
- Communication Skillsunmatched
- Computer Scienceunmatched
- Continuous Deployment/Deliveryunmatched
- Continuous Integrationunmatched
- Data Modelingunmatched
- Data Processingunmatched
- Data Scienceunmatched
- Decision Supportunmatched
- Distributed Computingunmatched
- Health Insuranceunmatched
- Health Planunmatched
- Identify Issuesunmatched
- Information Technology & Information Systemsunmatched
- Machine Learningunmatched
- Microsoft Excelunmatched
- Microsoft PowerPointunmatched
- Microsoft Wordunmatched
- Operations Processesunmatched
- Performance Tuning/Optimizationunmatched
- Presentation/Verbal Skillsunmatched
- Production Supportunmatched
- Production Systemsunmatched
- Python Programming/Scripting Languageunmatched
- Quality Assurance Methodologyunmatched
- Requirements Managementunmatched
- Software Developmentunmatched
- Software Engineeringunmatched
- Systems Maintainabilityunmatched
- Technical Leadershipunmatched
- Technical Writingunmatched
- Technical/Engineering Designunmatched
- Test Automationunmatched
- Test Plan/Scheduleunmatched
- Use Casesunmatched
- Writing Skillsunmatched
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