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Data Science Senior Analyst/AI Engineer

Lancesoft
  • Detroit, MI
  • $45
  • Quick Apply
30+ days ago

Job Description

Job Description:
  • 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.
  • 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.
Education and Experience
  • Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field is required. Master’s degree preferred.
  • Minimum of three 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.


EEO Employer
LanceSoft is a certified Minority Business Enterprise (MBE) and an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. LanceSoft makes hiring decisions based solely on qualifications, merit, and business needs at the time.

Numbers & Facts

LocationDetroit, MI
IndustryStaffing/Employment Agencies
Salary$45
Company Size2,000 to 2,499 employees
Year Founded2000
Websitehttp://www.lancesoft.com/

About Company

We are a $125 Million, NMSDC-certified Minority & Woman owned Workforce Solutions Company headquartered in the DC metro area with presence across US with global presence - Canada, Mexico, India, UK, Malaysia, Indonasia, Hongkong, Singapore, UAE. We are specialized in providing Workforce Solutions, SOW project delivery, Engineering Solutions, Creative Services. We currently support 100+ Fortune companies globally and across multiple industry segments. We are currently supporting several massive programs across industry segment nationally/globally (Intel, Ally, AMD, QUALCOMM, Morgan Stanley, Kraft/ Mondelez, MNP, Amdocs, Dell, SanDisk, Medtronic, Becton Dickinson, GE, Lockheed Martin, UTC, L-3 Communications, Caterpillar, BMW, Mercedes Benz, National Grid, Dominion, Energy Future Holdings, PSEG, 3M, Fidelity, Aetna, Humana, Johnson & Johnson, Pfizer, Merck etc). 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, identity, national origin, disability, or protected veteran status.

Skills

  • AWS Lambdaunmatched
  • Amazon Web Services (AWS)unmatched
  • Application Programming Interface (API)unmatched
  • Artificial Intelligence (AI)unmatched
  • Automationunmatched
  • Cloud Applicationsunmatched
  • Cloud Architectureunmatched
  • Cloud Computingunmatched
  • Code Reviewsunmatched
  • Computer Scienceunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Integrationunmatched
  • Data Analysisunmatched
  • Data Modelingunmatched
  • Data Processingunmatched
  • Data Scienceunmatched
  • Decision Supportunmatched
  • Information Technology & Information Systemsunmatched
  • Machine Learningunmatched
  • Operations Processesunmatched
  • Production Systemsunmatched
  • Quality Assurance Methodologyunmatched
  • Requirements Managementunmatched
  • Software Developmentunmatched
  • Software Engineeringunmatched
  • Systems Maintainabilityunmatched
  • Technical Leadershipunmatched
  • Technical Writingunmatched
  • Technical/Engineering Designunmatched
  • Test Plan/Scheduleunmatched
  • Use Casesunmatched

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