Data Scientist

Capgemini

Atlanta (GA)

On-site

USD 70,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Paid time off
Health insurance
Retirement plans (401k)
Life and disability insurance
Employee assistance programs
Other benefits as policy

Job summary

Capgemini is seeking a GenAI Engineer/Data Scientist in Atlanta to design, develop, deploy and maintain Generative AI and Predictive AI solutions delivering business value. You will work across AI/ML, data engineering, cloud platforms, and MLOps with business and tech teams.

The ideal candidate has 3–5+ years in AI/ML and production systems, with capabilities to build, deploy and scale enterprise solutions end-to-end. Capgemini offers a competitive base salary with comprehensive benefits.

Qualifications

  • Bachelor's degree or higher in AI, ML, CS or related field.
  • 3-5+ years of experience in AI/ML, Application Development, or Data Science.
  • Experience deploying and managing production AI systems.

Responsibilities

  • AI & Machine Learning Development
  • Develop Generative AI solutions (GPT, Claude, Stable Diffusion, etc.)
  • Predictive AI models (regression, classification, clustering)
  • NLP and Computer Vision applications
  • Build AI-powered agents and agentic workflows for process automation
  • Implement RAG (Retrieval-Augmented Generation) solutions and multimodal AI applications
  • Application Architecture & API Integration

Skills

GenAI
Machine Learning
Cloud Platforms
Data Engineering
MLOps
APIs
AI Agents
NLP
Computer Vision

Education

Bachelor's degree or higher in AI/ML/CS

Job description

Data Scientist

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Your Role

The GenAI Engineer / Data Scientist role focuses on designing, developing, deploying, and maintaining Generative AI and Predictive AI solutions that deliver business value. The position combines expertise in AI/ML, application integration, data engineering, cloud platforms, and MLOps while working closely with business and technical teams.

Key Responsibilities

AI & Machine Learning Development

Develop and implement:

Generative AI solutions (GPT, Claude, Stable Diffusion, etc.)

Predictive AI models (regression, classification, clustering)

NLP and Computer Vision applications

Build AI-powered agents and agentic workflows for process automation.

Implement RAG (Retrieval-Augmented Generation) solutions and multimodal AI applications.

Application Architecture & API Integration

Required Skill and Expereince

Bachelor's degree or higher in AI, Machine Learning, Computer Science, or related field.

3-5+ years of experience in AI, Machine Learning, Application Development, or Data Science.

Experience deploying and managing production AI systems.

Ideal Candidate

A hands-on GenAI Engineer/Data Scientist with expertise in Generative AI, Machine Learning, Cloud Platforms, Data Engineering, MLOps, APIs, and AI Agents, capable of building, deploying, and scaling enterprise AI solutions from development through production.

The base compensation range for this role in the posted location is $70,000- $120,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.
  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility
Important Notice:

Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Contract Type: Permanent

Location: Atlanta, US

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

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