At a Glance
- Tasks: Design and deploy cutting-edge generative AI solutions on Google Cloud Platform.
- Company: Join a forward-thinking tech company leading in AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: 3+ years in software or machine learning engineering with GCP expertise.
The predicted salary is between 63000 - 77000 £ per year.
We are looking for a skilled AI Engineer with deep expertise in Google Cloud Platform (GCP) to design, build, and deploy production-grade machine learning and generative AI solutions. You will be responsible for taking AI models from experimental prototypes to scalable, high-availability enterprise services using GCP’s native AI/ML ecosystem.
About the Role
Responsibilities:
- Model Deployment & Pipeline Architecture: Design, build, and maintain end-to-end ML and LLM pipelines using Vertex AI, Kubeflow, and Dataflow.
- Generative AI & LLM Integration: Fine-tune, evaluate, and integrate foundation models (e.g., Gemini) via Vertex AI Model Garden into application workflows using RAG architecture.
- MLOps & Infrastructure: Automate continuous integration, deployment, and monitoring (CI/CD/CT) for machine learning models using GCP infrastructure and Terraform.
- Data Engineering Collaboration: Work with data teams to optimize feature stores, data pipelines (BigQuery, Pub/Sub), and training datasets for scalable AI workflows.
- Performance & Cost Optimization: Monitor model drift, latency, and throughput in production while optimizing GCP resource utilization and infrastructure costs.
Qualifications
Technical Skills:
- GCP AI Ecosystem: Hands-on experience with Vertex AI (Pipelines, Feature Store, Model Registry, Endpoint deployment), BigQuery ML, and Cloud Run/GKE.
- Frameworks & Languages: Proficiency in Python and standard ML frameworks (PyTorch, TensorFlow, JAX).
- Generative AI Stack: Experience with orchestration frameworks (LangChain, LlamaIndex), vector databases (Vertex AI Vector Search, Pinecone, or pgvector), and prompt engineering/tuning.
- MLOps Tools: Familiarity with Docker, Kubernetes, Terraform, MLflow, or Kubeflow Pipelines.
Experience & Background:
- 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).
Preferred Skills:
- Google Cloud Certified - Professional Machine Learning Engineer or Professional Cloud Architect.
- Experience with serverless AI applications and event-driven architectures on GCP.
Generative AI Engineer in Bracknell employer: Wipro
Wipro is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong focus on employee growth, we provide extensive training and development opportunities, ensuring our team members thrive in their careers while working on impactful projects across diverse sectors. Our competitive salary and benefits package, combined with a culture that values creativity and excellence, make Wipro a rewarding place to advance your professional journey.
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