GCP / Python Engineer

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