Data Scientist
Capgemini · Dallas, TX
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About the Job
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 by a 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 organizations unlock the value of technology and build a more sustainable, more inclusive world.
Location
Denver CO
Your Role
The GenAI Engineer / Data Scientist role focuses on developing, deploying, and scaling Generative AI and Predictive AI solutions that drive business value. The position combines expertise in AI/ML, APIs, cloud platforms, data engineering, MLOps, and agentic AI workflows to build production-ready AI applications and automation solutions.
Key Responsibilities
AI & Machine Learning Development
Develop and deploy:
Generative AI solutions (GPT, Claude, Stable Diffusion)
Predictive AI models (regression, classification, clustering)
NLP and Computer Vision applications
Build intelligent AI agents and agentic workflows to automate business processes.
Implement Retrieval-Augmented Generation (RAG) and multimodal AI solutions.
Application Architecture & API Integration
Design AI-enabled applications and integrations using:
REST APIs
JSON services
Authentication and Tokens
HTTP protocols and API endpoints
Handle API security, rate limiting, debugging, error handling, and documentation.
Model Deployment & MLOps
Deploy AI models into production environments.
Monitor model performance, scalability, and reliability.
Required Skills and Experience
Bachelor's degree or higher in AI, Machine Learning, Computer Science, or a related field.
3-5 years of experience in AI, Machine Learning, Data Science, or Application Development.
Experience deploying and managing production AI solutions with MLOps practices.
Ideal Candidate
A hands-on GenAI Engineer/Data Scientist with strong expertise in Generative AI, LLMs, AI agents, Python, SQL, cloud platforms, MLOps, APIs, and data engineering, capable of building and operating enterprise-scale AI solutions from development through production deployment.
The base compensation range for this role in the posted location is $90,000- $125,000
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. 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 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.