Vertex AI

Job Role

• Design, develop, and deploy machine learning models and pipelines on Vertex AI.Work with data scientists and engineers to prepare data for model training using services like Vertex AI Workbench and BigQuery. Implement and manage MLOps practices, including model serving, versioning, and monitoring, with Vertex AI Pipelines.
• Fine-tune and deploy both custom models and Generative AI models from Vertex AI Model Garden. Ensure the scalability and reliability of deployed models by working with services like Vertex AI Endpoints.
• Collaborate with cross-functional teams to integrate AI models into production applications. Maintain clear, well-documented code and participate in code reviews to ensure quality and best practices.

Your Profile

• 3+ years of experience in software or AI/ML development. Hands-on experience with Google Cloud Platform (GCP), including Cloud Run, Vertex AI / AI Applications, and the Gemini Family of Models via the Discovery
• Engine API.Strong understanding of RESTful API design, microservices architecture, and CI/CD pipelines.
• Familiarity with AI/ML model integration, including model deployment, inference, and monitoring. Strong proficiency in Python or Node. JS and familiarity with popular ML frameworks. Strong problem-solving skills and a collaborative mindset.

What you will love working here in Capgemini

• You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.
• You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.
• You will have the opportunity to learn on one of the industry’s largest digital learning platforms, with access to 250,000+ courses and numerous certifications.