GCP / Python Engineer

About the position We are looking for a skilled GCP (Google Cloud Platform) and Python Developer with hands-on experience in Python, cloud implementation, deployment automation, and AI/ML model operationalization. This role supports cloud infrastructure, CI/CD pipelines, and production-ready AI workloads. Responsibilities • Manage and optimize GCP, Azure and AWS cloud environments • Implement and deploy cloud infrastructure using IaC tools • Build and maintain CI/CD pipelines for applications and AI models • Deploy and monitor AI/ML models using Azure ML, SageMaker, or similar platforms • Support containerized workloads (Docker, Kubernetes) • Ensure cloud security, IAM, and compliance best practices • Troubleshoot cloud, deployment, and model-related issues • Monitor model performance and ensure scalability, security, and compliance. • Optimize resource utilization and cost efficiency for AI workloads. • Collaborate with data scientists and engineering teams for seamless integration. Requirements • 10+ years in GCP (Google Cloud Platforms) • 10+ years hands-on experience with Python • Strong experience with CI/CD (Azure DevOps, GitHub Actions, Jenkins, CodePipeline) • Proficiency with Terraform, CloudFormation, or ARM/Bicep • Experience deploying AI/ML models into production • Knowledge of Docker, Kubernetes (AKS/EKS) • Strong experience with AWS AI/ML services (e.g., SageMaker) or Azure Machine Learning • Proficiency in cloud administration (IAM, networking, security, resource management). • Familiarity with model evaluation, tuning, and deployment pipelines. Nice-to-haves • Knowledge of Python and ML frameworks (TensorFlow, PyTorch) is a plus. Apply tot his job