ML/Generative AI Engineer

This is a full time ML Gen AI Junior Developer requiring you to relocate to Seattle. We will provide 6 weeks of training and continued mentorship. 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 Job Description: As a Generative AI Junior Developer at Capgemini, you'll leverage your expertise in large language models, agentic AI solutions, natural language processing algorithms, and software architecture to Design and implement advanced generative AI solutions. You'll collaborate with clients and internal teams to understand business requirements, lead solution design, and ensure compliance with governance frameworks. Key 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. Required skills : 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. 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 Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end‑to‑end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. #J-18808-Ljbffr Capgemini