Capgemini · 3 hours ago
Data Scientist
Chicago, IL
Full-time
Onsite
Mid Level
$100K/yr - $125K/yrCapgemini is a global business and technology transformation partner, empowering employees to shape their careers. As an Associate Data Scientist, you will lead the development of advanced data engineering solutions to support Generative AI models and design scalable data architectures.
ConsultingInformation TechnologyInsurTechIT ManagementSoftware
Responsibilities
The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production generative AI systems
Production level ML workloads for customers using Databricks platform, including end-to-end ML pipelines, training/inference optimization, integration with cloud-native services and MLOps
Build and maintain data engineering solutions on cloud platforms using hyperscaler services
Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring
Design, develop, and maintain data pipelines to efficiently collect, process, and load data from various sources into data storage systems (e.g., data warehouses, data lakes)
Understanding of indexing and vectorization to use with Generative AI prompt engineering
Strong understanding of fundamental data science concepts in NLP, including selection and understanding of embedding models
Use hyperscaler technologies to support data needs for expansion of Machine Learning/Data Science capabilities including generative AI
Design, develop, and implement scalable data pipelines and ETL/ELT processes using Python, PySpark and API integrations
Qualification
Required
Lead the development and implementation of advanced data engineering solutions to support the deployment and optimization of Generative AI models
Leverage extensive experience to design robust, scalable, and innovative data architectures that align with the unique requirements of General Artificial Intelligence (GenAI) applications
Architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production generative AI systems
Production level ML workloads for customers using Databricks platform, including end-to-end ML pipelines, training/inference optimization, integration with cloud-native services and MLOps
Build and maintain data engineering solutions on cloud platforms using hyperscaler services
Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring
Design, develop, and maintain data pipelines to efficiently collect, process, and load data from various sources into data storage systems (e.g., data warehouses, data lakes)
Understanding of indexing and vectorization to use with Generative AI prompt engineering
Strong understanding of fundamental data science concepts in NLP, including selection and understanding of embedding models
Use hyperscaler technologies to support data needs for expansion of Machine Learning/Data Science capabilities including generative AI
Design, develop, and implement scalable data pipelines and ETL/ELT processes using Python, PySpark and API integrations
Benefits
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
Company
Capgemini
Capgemini is a software company that provides consulting, technology, and digital transformation services.
Founded in 1967
10001+ employees
H1B Sponsorship
Capgemini has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2856)
2024 (3012)
2023 (3424)
2022 (4392)
2021 (3311)
2020 (5871)
Funding
Current Stage
Public CompanyTotal Funding
$4.72B2025-09-18Post Ipo Debt· $4.72B
1999-04-01IPO
Leadership Team
Aiman Ezzat
CEO, Capgemini Group
Anirban Bose
CEO of Americas SBU | Member of the Group Executive Board
Recent News
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