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Data Scientist/AI Engineer

ICONMA

Role overview

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field
  • Minimum of three (3) years of related experience in software engineering, data science, AI engineering, or machine learning engineering
  • Strong proficiency in Python and backend application development
  • Experience with CI/CD pipelines, automated testing

Responsibilities

  • 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
  • Develop APIs, workflow automation, and integration components that enable AI-powered functionality in production environments
  • Implement monitoring, logging, testing, and deployment practices to ensure reliability, performance, and maintainability of production systems

About the company

ICONMA logo

ICONMA

Human Resources, Staffing & Recruiting

We provide Professional Staffing Services & Project-Based Solutions for a broad range of Fortune 500 organizations. ICONMA is a certified Woman-Owned staffing company and was founded in 2000. ICONMA’s corporate headquarters is in Troy, Michigan, and has 15+ locations worldwide. What makes ICONMA stand out in a fiercely competitive industry? *We provide integrated, full lifecycle services across a broad range of business and technical platforms. *No single company can duplicate our full range of staffing and permanent recruiting services nationwide. *Proven track record of attracting and retaining exceedingly skilled professional workers in a highly competitive market. SERVICES OFFERED Staff Augmentation (Contract, Contract to Hire, Direct Hire, Single Source) Data Analysis Project-Based Services & Solutions Hire Train Deploy Service Model Offshore Staff Augmentation Payroll Services AREAS OF EXPERTISE - Information Technology - Engineering - Business Professional - Accounting/Finance - Admin/Clerical/Call Center - Healthcare/Clinical/Scientific - Marketing/Creative mail linkedin@iconma.com Phone (888) 451-2519 Website http://www.iconma.com

Company details

Company typeLarge
IndustryHuman Resources, Staffing & Recruiting
Company size1001 - 5000

Links

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Job description

Our client, a Health Insurance company, is looking for a Data Scientist/AI Engineer for their Detroit, MI/Remote location.
 
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.
Additional Information
  • 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.
 
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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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