Capgemini · 5 hours ago
ML/Generative AI Engineer
California, United States
Full-time
Hybrid
Entry Level
1+ years expCapgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. As a Generative AI Junior Developer, you'll design and implement advanced generative AI solutions while collaborating with clients and internal teams to meet business requirements.
ConsultingInformation TechnologyInsurTechIT ManagementSoftware
Hiring Manager
Abby Cheung
Responsibilities
Design and develop Generative AI and Agentic AI based solutions according to client needs considering factors such as data integration, scalability, and security
Serve as the subject matter expert on AI technologies, hands-on development of GenAI solutions
Evaluate and select appropriate generative AI components and algorithms based on project objectives
Extensive knowledge and confidence in concepts of Deep Learning, Natural Language Processing and model building
Define governance frameworks for the ethical use of generative AI technologies and ensure compliance with regulatory requirements
Qualification
Required
You must live in Seattle otherwise relocate at your own expense to start in March 2026
You will have 1 to 2 years working experience after your graduation
You are required to be in the office for 3 days per week
2 years and less of professional work experience in designing, developing and implementing large language model (Open AI GPT's/other popular LLM's) implementations using Azure OpenAI service/Databricks
Hands-on experience with Azure Machine Learning Studio, Notebooks, CLI, Experiment Management, Model Registry, Deployment options, and Monitoring
Proficient in MLOps and LLMOps, specializing in Computer vision and Natural language tasks like instance segmentation, object detection, image classification, text classification, QA, translation and text generation
Design, develop, and implement machine learning models, focusing on generative AI and NLP based on customer requirements
Data integration using Azure Data Factory and Data Lake Storage for AI and machine learning workloads
Security and access control with Azure Active Directory and Azure RBAC within the Azure Machine Learning workspace
Strong proficiency in machine learning frameworks such as TensorFlow, PyTorch
Familiarity with software architecture principles, cloud computing platforms, and containerization technologies
Excellent problem-solving skills, analytical thinking, and communication skills
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.
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 Strategic Business Unit
Recent News
2026-01-12
2026-01-08
2026-01-06
Company data provided by crunchbase