GCP GenAI

Your Role

• Design, build, and deploy ML models using Vertex AI, AutoML, and custom model training.
• Develop and optimize data pipelines using Dataflow, Dataproc, Cloud Functions, and Pub/Sub.
• Perform feature engineering, model training, tuning, evaluation, and production deployment.
• Implement LLM and GenAI workflows, including model fine‑tuning, prompt engineering, and embeddings.

• Automate end‑to‑end ML workflows with Vertex AI Pipelines and CI/CD.
• Build reproducible ML environments and manage model lifecycle using ML Metadata, versioning, and model registry.
• Ensure scalability, reliability, security, and cost optimization for ML workloads.

• Work with BigQuery, Cloud Storage, and data warehouses for training and inferencing workloads.
• Collaborate with data engineers to integrate structured and unstructured datasets.
• Build feature stores and reusable ML components.

• Partner with product owners and data scientists to convert business use cases into AI solutions.
• Document architecture, workflows, and best practices.

Your Profile

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent.
• 3+ years of experience in ML engineering or data engineering.
• Hands‑on experience with GCP services such as: Vertex AI (AutoML, Workbench, Pipelines, Model Registry) BigQuery, Cloud Storage, Pub/Sub Cloud Run, Cloud Functions, GKEDataflow / Apache Beam
• Strong knowledge of Python, SQL, and ML frameworks (TensorFlow / PyTorch / Scikit‑learn).
• Experience building and deploying ML models into production.
• Familiarity with MLOps tools (TFX, Kubeflow, MLflow, CI/CD).

what you'll love about working here

• We’re committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work.
• Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also get to participate in internal sports events, yoga challenges, or marathons.
• At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.