Description

Job Title: Data Science Senior Analyst
Project Location: Detroit MI
Duration: 6 months /Contract

Skills Required and Job Description:
Title: Data Science Senior Analyst/AI Engineer
Location: Detroit MI (Hybrid)

Local candidates with one day onsite is preferred but not required.

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
Essential duties and responsibilities include the following. Other duties may be assigned.
1. Design, develop, test, and deploy end-to-end backend solutions that support AI, machine learning, and intelligent automation use cases.
2. Build cloud-native and serverless applications using AWS services, including Lambda, DynamoDB, OpenSearch, Neptune, Bedrock, SageMaker, and related tools.
3. Develop APIs, workflow automation, and integration components that enable AI-powered functionality in production environments.
4. Create scalable data processing and application logic to support model inference, retrieval, search, and decision-support workflows.
5. Support the design and implementation of AI/ML solutions through software engineering, data engineering, and model integration practices.
6. Partner with data scientists, engineers, architects, and business stakeholders to define technical requirements and solution design.

Education and Experience
1. Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field is required. Master's degree preferred.
2. Minimum of three (3) years of related experience in software engineering, data science, AI engineering, or machine learning engineering is required.
3. Demonstrated experience building and deploying production applications in cloud environments is required.
4. Experience developing backend services and integrating AWS-native services is required.
5. Prior experience supporting AI/ML solutions or intelligent automation initiatives is preferred.

Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Key Skills

Education

Not specified