GCP Generative AI Engineer: Vertex AI & MLOps

Wipro; Bracknell; On-site; GBP 80,000 - 130,000; Full time

Job summary

Wipro is seeking an AI Engineer with deep expertise in Google Cloud Platform to design, build, and deploy production-grade ML and generative AI solutions. You will take AI models from experiments to scalable enterprise services on GCP.

Responsibilities include deploying ML pipelines with Vertex AI, Kubeflow, and Dataflow; integrating foundation models via Vertex AI Model Garden; and implementing CI/CD/CT practices with Terraform and GCP infrastructure.

Qualifications

• 3+ years of professional experience in software engineering, machine learning engineering, or data science.
• Proven track record of deploying and maintaining ML/AI models in a cloud-native production environment (preferably GCP).
• Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, or a related quantitative field (or equivalent practical experience).

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 application workflows using RAG architecture.
• Automate CI/CD/CT for ML models using GCP infrastructure and Terraform.
• Collaborate with data teams to optimize feature stores, data pipelines, and training datasets for scalable AI workflows.
• Monitor model drift, latency, and throughput in production while optimizing GCP resource utilization and costs.

Skills

Python

ML/DL frameworks

BigQuery ML

Cloud ML concepts

Education

Bachelor's or Master's in CS/DS/EE

Tools

Vertex AI

Kubeflow

Dataflow

Terraform

Docker

Kubernetes

MLflow

Kubeflow Pipelines

LangChain

LlamaIndex

Pinecone

pgvector

Job description

Wipro is seeking an AI Engineer with deep expertise in Google Cloud Platform to design, build, and deploy production-grade ML and generative AI solutions. You will take AI models from experiments to scalable enterprise services on GCP.

Responsibilities include deploying ML pipelines with Vertex AI, Kubeflow, and Dataflow; integrating foundation models via Vertex AI Model Garden; and implementing CI/CD/CT practices with Terraform and GCP infrastructure.