GCP AI Developer

Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage, employing over 420,000 people in more than 50 countries. The company delivers end-to-end services and solutions with expertise in strategy, technology, design, engineering, and business operations.

• Proven experience as an AI/ML Developer building and deploying models on Google Cloud Platform (GCP), with expertise in Vertex AI and related GCP AI services.
• Strong understanding of machine learning frameworks (TensorFlow, PyTorch, or JAX) and MLOps practices including model versioning, monitoring, and retraining.
• GCP Professional Certification.
• Proficiency in Python with experience writing production-grade code including REST APIs and microservices.
• C1-level English proficiency.

Nice to have:

• Multiple GCP certifications.
• Experience with generative AI, LLMs, RAG architectures, and prompt engineering.
• Architecture certifications in Azure or AWS.
• Experience with containerization (Docker, Kubernetes, Cloud Run) and CI/CD pipelines.
• Familiarity with data governance and responsible AI frameworks.
• Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field.

• Develop and deploy AI/ML models and generative AI solutions using GCP-native services such as Vertex AI, BigQuery ML, Document AI, and Gemini API.
• Build and maintain end-to-end ML pipelines, including data ingestion, feature engineering, model training, evaluation, and serving.
• Ensure solutions meet production standards for scalability, monitoring, and responsible AI practices.
• Stay current with GCP AI innovations and emerging industry trends to improve development practices.