AI/ML Engineer

Capgemini

Atlanta (GA)

On-site

USD 103,000 - 129,000

Full time

14 days+
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Benefits offered by this job

Flexible work hours
Healthcare including dental, vision, &
401(k) & Employee Stock Plan
Paid time off & holidays
Parental leave & family benefits

Job summary

Capgemini is seeking an AIML Engineer in Atlanta/ NYC to build, integrate, and deploy AI/ML models, focusing on LLMs and real-time data pipelines. You will design microservices-based APIs and collaborate with cross-functional teams in an Agile environment.

The role emphasizes hands-on Python, LLM integration, and distributed data technologies, with opportunities to work on agentic AI and modern AI tooling in a global company.

Qualifications

  • Proficiency in Python with hands-on AI/ML experience.
  • Experience integrating LLMs and real-time data pipelines.
  • Strong API development and microservices design.

Responsibilities

  • Build, integrate, and deploy AI/ML models, especially LLMs.
  • Develop agentic AI workflows and real-time data pipelines.
  • Collaborate with cross-functional teams in an Agile environment.

Skills

Python
LLM integration
API development
Distributed data
Agile collaboration
Kafka
REST API integration
GitHub/CoPilot
Agentic AI

Tools

Docker
Kubernetes
Spring Boot
CI/CD
Cloud ML platforms
Java
Angular

Job description

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.Job Location: Atlanta, GA/ NYC, NY

Responsibilities

We are seeking a highly skilled AIML Engineer with strong hands‑on experience in Python, modern AI/LLM integration, API development, and distributed data technologies.This role will focus on building, integrating, and deploying AI/ML models-particularly those involving Large Language Models (LLMs), agentic AI workflows, and real‑time data pipelines.The ideal candidate will have a strong engineering background with a deep understanding of ML systems design, inferencing pipelines, and microservices‑based APIs.Experience working in Agile environments and collaborating with cross‑functional teams is essential.

Required Skills
  • PythonExperience in Integration LLMFAST APIKafka IntegrationRest API Integration for ML ModelsGitHub and CoPilotAgentic AI Implementation
Good‑to‑Have Skills
  • Java/AngularSpring BootCI/CDContainerization (Docket, Kubernetes)Cloud ML platformsFinance domain Experience
Life at Capgemini
  • Flexible workHealthcare including dental, vision, mental health, and well-being programsFinancial well-being programs such as 401(k) and Employee Share Ownership PlanPaid time off and paid holidaysPaid parental leaveFamily building benefits like adoption assistance, surrogacy, and cryopreservationSocial well-being benefits like subsidized back-up child/elder care and tutoringMentoring, coaching and learning programsEmployee Resource Groups nd 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 accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodationsDisaster Relief

The base compensation range for this role in the posted location is: 103330 to 128656Capgemini 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. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: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 LeaveMedical, 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 insuranceEmployee assistance programsOther benefits as provided by local policy and eligibilityImportant 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.DisclaimersCapgemini 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.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-lawCapgemini 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.

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