We are looking for a result-oriented personal tutor to lead an intensive online training program focused on Google Cloud Platform’s AI stack. The objective is to bridge the gap between theoretical data science and cloud-based implementation. This position is perfect for a consultant or engineer who enjoys teaching the “how” and “why” behind scalable machine learning. You will work closely with the student to build a robust portfolio of projects using BigQuery’s analytical power and Vertex AI’s unified platform.
Job Description
- Technical Focus: Masterclass-level instruction on BigQuery ML for rapid prototyping and Vertex AI Workbench for custom development.
- Advanced AI Integration: Training on generative AI workflows, including prompt engineering in Vertex AI Studio and fine-tuning foundational models.
- Hands-on Labs: Oversight of end-to-end projects—from data ingestion in Cloud Storage to model deployment and batch inference.
- Mentorship: Continuous assessment of student code and architectural decisions to ensure alignment with Google Cloud best practices.
Tutor Requirements
The ideal mentor must demonstrate professional expertise in deploying models on GCP and have a portfolio of successful AI/ML implementations. Mastery of the Vertex AI Model Registry, Feature Store, and Explainable AI is essential for this role. You should possess a relevant degree (B.Tech/M.Tech/MCA) and have prior experience in technical tutoring or corporate training. Excellent command over English and the ability to troubleshoot real-time environment issues during the online sessions are required to maintain a high standard of education.
Skills
- Advanced knowledge of GCP Identity and Access Management (IAM) for AI projects.
- Hands-on experience with Jupyter Notebooks and Colab Enterprise.
- Strong understanding of data preprocessing and feature engineering within BigQuery.
- Interactive teaching style with the ability to use digital whiteboards for architecture diagrams.
Hiring Process
Interested experts must complete the Tutor Registration process. This is followed by a demo class where you will demonstrate your ability to explain a complex GCP workflow, such as deploying a custom-trained model to a Vertex AI endpoint.
If you meet the criteria and are ready to start immediately, please register as a tutor on Crazywhiz and apply, we will contact you after reviewing your application.