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Google Cloud Platform AI Engineer - Compugra Systems
AI Engineer
Innovative AI Engineer role focused on designing, building, and deploying AI agents on Google Cloud Platform, leveraging Large Language Models, Python, and modern DevOps practices.
About the role
Key Responsibilities
- Design and implement AI agents and automated code‑generation pipelines using Large Language Models (LLMs) on Google Cloud Platform.
- Develop, train, and fine‑tune machine‑learning models with Python frameworks such as TensorFlow or PyTorch.
- Containerize AI services with Docker and orchestrate deployments using Kubernetes and GKE.
- Establish CI/CD workflows to ensure reliable, repeatable model serving and version control.
- Collaborate with software engineers, data scientists, and product owners to integrate AI capabilities into existing applications.
Requirements
- 3+ years of professional experience in AI/ML engineering, preferably with LLMs or generative AI.
- Strong proficiency in Python and experience with ML libraries (TensorFlow, PyTorch, Hugging Face).
- Hands‑on experience with Google Cloud services (Vertex AI, BigQuery, Cloud Functions) and infrastructure‑as‑code tools.
- Solid understanding of containerization (Docker) and orchestration (Kubernetes/GKE) in production environments.
- Demonstrated ability to build CI/CD pipelines using tools such as Cloud Build, GitHub Actions, or Jenkins.
Skills
pythonmachine learningkubernetescicd