Sr. AI Engineer (GCP)
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About the Role
Develop and implement end-to-end machine learning models on Google Cloud Platform, ensuring data security and compliance while collaborating with cross-functional teams.
Key Skills for This Role
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Requirements
- Bachelor s or master s degree in computer science, Software Engineering, Artificial Intelligence, or a related quantitative field.
- 3 5+ years of professional engineering experience, with a proven track record of taking ML models out of Jupyter notebooks and deploying them into production environments.
- Deep, hands-on mastery of Google Cloud Platform (GCP) for ML workloads is essential.
- Strong proficiency in Python (OOP, modular design, unit testing) and relevant AI/ML libraries (TensorFlow, PyTorch, scikit-learn, Pandas).
- Experience with backend API development frameworks (FastAPI, Flask) for high-throughput model serving.
- Strong DevOps fundamentals: Docker containerization, Git version control, CI/CD tools (Cloud Build, GitHub Actions), and Infrastructure as Code (Terraform).
- Solid understanding of machine learning evaluation metrics (Precision, Recall, ROC-AUC) and the ability to evaluate algorithmic trade-offs for specific business problems.
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