Job Title: Google Cloud Platform AI Engineer

Role Overview

We are seeking a highly skilled Google Cloud Platform AI Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions on Google Cloud Platform (Google Cloud Platform). The ideal candidate will have hands-on experience building production-grade ML systems, implementing MLOps practices, and leveraging Google Cloud Platform-native AI services to drive business value.

Key Responsibilities

• Design and implement end-to-end AI/ML solutions on Google Cloud Platform.

• Develop, train, tune, and deploy ML models using Vertex AI.

• Build and manage data pipelines using BigQuery, Dataflow, and Cloud Storage.

• Implement MLOps practices including CI/CD using Cloud Build.

• Deploy containerized applications via Google Kubernetes Engine.

• Integrate Google Cloud Platform AI APIs (Vision, Natural Language, Speech, Generative AI).

• Monitor model performance, manage model drift, and automate retraining workflows.

• Ensure security, compliance, and cost optimization of cloud AI solutions.

• Collaborate with data scientists, data engineers, DevOps teams, and business stakeholders.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.

• 3+ years of experience in AI/ML engineering.

• Strong hands-on experience with Google Cloud Platform services.

• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).

• Experience with MLOps and ML lifecycle management.

• Knowledge of REST APIs, microservices, and containerization (Docker, Kubernetes).

Preferred Qualifications

• Experience with Generative AI and Large Language Models (LLMs) on Google Cloud Platform.

• Knowledge of distributed data processing systems.

• Experience with Infrastructure as Code (Terraform).

• Google Cloud Platform certifications such as:

  • Professional Machine Learning Engineer

  • Professional Cloud Architect