
Vertex AI Engineer
Capgemini
About the Role
Join Capgemini as a Vertex AI Engineer to help the world's leading organizations.
Key Responsibilities
- Build endpoints using Flask/FastAPI.
- Deliver AI solutions on Vertex AI.
Requirements & Tech Stack
- Strong Python skills.
- Experience with deep learning frameworks (TensorFlow, PyTorch, JAX).
- Knowledge of NLP and ML.
- Hands-on with GCP services: Vertex AI, Cloud Functions, Pub/Sub, BigQuery.
- Practical experience with Generative AI models (Gemini, Vertex Search).
- Familiarity with prompt design/tuning, vector stores, embeddings.
- Knowledge of Transformer models (BERT).
Qualifications
- Proven experience delivering AI solutions on Vertex AI.
- Problem-solving and analytical skills.
- Professional ML Engineer certification preferred.
- Access to training programmes in the latest technologies such as Gen AI, Vertex AI, GCP Cloud.


