▷ (3 Days Left) MLOps Manager

Roles and Responsibilities

• Infrastructure Development : Design, implement, and manage containerized GPU deployments using Docker.
• Multi-modal Projects : Integrate and deploy machine learning models for audio, video, and image processing tasks.
• Framework Integration : Collaborate with data science teams to ensure seamless integration of TensorFlow, Keras, and other deep learning frameworks into production pipelines.
• Kubernetes Management : Optimize and manage Kubernetes clusters for scalable and efficient deployment.
• Model Optimization : Utilize ONNX and C-based deployments for optimized model execution and scalability.
• Model Monitoring : Monitor model performance, detect model drift, and ensure the robustness of deployed models in production environments.
• Pipeline Support : Provide support for end-to-end machine learning pipelines, from data ingestion to model deployment.
• Cross-functional Collaboration : Ensure effective communication with cross- functional teams to align on project goals and deliverables.

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Qualification

About Zzazz

Zzazz is pioneering the next global information economy by transforming how digital content is valued and experienced. Our advanced Economic AI quantifies the real-time value and price of content, turning it into dynamic assets that reshape industries worldwide. At Zzazz, you'll join a team of innovators pushing the boundaries of AI and economics to create meaningful impact on a global sca