Senior AI Cloud Operations Engineer

As a Senior AI Cloud Operations Engineer, you will play a crucial role in designing and managing scalable cloud infrastructure tailored for AI workloads. You will work with platforms like AWS, Azure, or Google Cloud to ensure high availability and swift performance by implementing comprehensive monitoring solutions. Your collaboration with data scientists to operationalize AI models will be essential for seamless integration with existing systems and workflows. Automating deployment pipelines using tools like Kubernetes and Terraform will streamline operations and reduce manual interventions. Ensuring security best practices and compliance standards, including data privacy regulations like GDPR or HIPAA, will be a key aspect of your responsibilities. Additionally, creating detailed documentation of cloud configurations and procedures will foster transparency and continuous improvement. Regular performance assessments and optimization strategies will be crucial for maximizing cloud resource utilization and reducing costs without compromising system effectiveness. Rapid identification, diagnosis, and resolution of technical issues will minimize downtime and ensure maximum uptime. Key Responsibilities: - Design, architect, and manage scalable cloud infrastructure tailored for AI workloads on platforms like AWS, Azure, or Google Cloud. - Implement comprehensive monitoring solutions using tools like Prometheus, Grafana, or CloudWatch. - Work closely with data scientists to operationalize AI models and ensure seamless integration with existing systems. - Develop automated deployment pipelines using Kubernetes and Terraform. - Ensure security best practices and compliance standards are met, including data privacy regulations. - Create and maintain detailed documentation of cloud configurations and procedures. - Conduct performance assessments and implement optimization strategies. - Rapidly identify, diagnose, and resolve technical issues to minimize downtime. Qualifications: - Bachelors degree in Computer Science, Engineering, or a related field; Master's degree preferred. - 5+ years of extensive experience in cloud operations, particularly within AI environments. - Deep knowledge of cloud platforms (AWS, Azure, Google Cloud) and AI-specific services. - In-depth understanding of AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn. - Proficiency in infrastructure-as-code tools like Terraform and AWS CloudFormation. - Expertise in managing containerized applications with Docker and orchestrating services with Kubernetes. - Strong analytical, problem-solving, and communication skills. Please note that the company did not provide any additional details in the job description.,