GCP Generative AI Engineer — Deploy & Scale AI Systems

Wipro

Bracknell

On-site

GBP 90,000 - 130,000

Full time

2 days ago
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Job summary

Wipro in Bracknell, United Kingdom seeks an AI Engineer with deep Google Cloud Platform expertise to design, build and deploy production-grade ML and generative AI solutions using Vertex AI, Kubeflow, and Dataflow.

You will take models from experimental prototypes to scalable, high-availability enterprise services, collaborating with data teams to optimize pipelines, feature stores, and training datasets for robust AI workflows while managing costs and performance.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, or related field.
  • 3+ years of professional experience in software or ML engineering.
  • Experience deploying ML/AI models in a cloud-native production environment (GCP preferred).

Responsibilities

  • Design, build, and maintain end-to-end ML and LLM pipelines using Vertex AI, Kubeflow, and Dataflow.
  • Fine-tune, evaluate, and integrate foundation models via Vertex AI Model Garden into workflows using RAG architecture.
  • Automate CI/CD/CT for ML models using GCP and Terraform.
  • Collaborate with data teams to optimize feature stores and data pipelines for scalable AI workflows.
  • Monitor model drift, latency, and throughput while optimizing resource utilization.

Skills

GCP AI ecosystem
Frameworks & Languages
Generative AI Stack
MLOps Tools

Education

Bachelor’s or Master’s degree (CS/DS/EE)

Tools

Docker
Kubernetes
Terraform
MLflow
Kubeflow Pipelines

Job description

Wipro in Bracknell, United Kingdom seeks an AI Engineer with deep Google Cloud Platform expertise to design, build and deploy production-grade ML and generative AI solutions using Vertex AI, Kubeflow, and Dataflow.

You will take models from experimental prototypes to scalable, high-availability enterprise services, collaborating with data teams to optimize pipelines, feature stores, and training datasets for robust AI workflows while managing costs and performance.

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