Join Capgemini, a global leader in business and technology transformation, and help shape the future of AI. This role empowers you to grow your career within a supportive and collaborative environment, working with leading organizations to unlock technological potential and build a more sustainable, inclusive world. Capgemini is an AI-powered partner dedicated to delivering tangible business value through innovation and deep industry expertise.

With a heritage of nearly 60 years and a global presence across more than 50 countries, Capgemini is a diverse group of 420,000 professionals. The company reported €22.1 billion in global revenues for 2024. Explore opportunities to 'Make it Real' at www.capgemini.com.

Deliver advanced AI solutions utilizing Google Cloud's Vertex AI platform. Leverage strong Python skills to develop and implement machine learning models. Integrate deep learning frameworks like TensorFlow, PyTorch, and JAX into practical applications. Apply knowledge of NLP and ML to solve complex business challenges. Utilize GCP services such as Cloud Functions, Pub/Sub, and BigQuery for robust data pipelines and orchestration. Implement and fine-tune Generative AI models, including Gemini and Vertex Search, for cutting-edge solutions. Develop application endpoints using Flask or FastAPI to serve AI models effectively.

Requires 4 to 14 years of professional experience in AI engineering. Demonstrated expertise in building and deploying AI solutions on Vertex AI is essential. Proficiency in Python is a must, along with hands-on experience with deep learning frameworks (TensorFlow, PyTorch, JAX). A solid understanding of NLP and ML concepts is expected. Familiarity with Generative AI models (Gemini, Vertex Search), prompt design, vector stores, and embeddings is highly beneficial. Experience with transformer models like BERT is advantageous. A Professional ML Engineer certification is preferred. Excellent problem-solving and analytical skills are crucial for this role.