MLOps Manager

**Job Description:** You will be responsible for Infrastructure Development, which involves designing, implementing, and managing containerized GPU deployments using Docker. Additionally, you will work on Multi-modal Projects by integrating and deploying machine learning models for audio, video, and image processing tasks. **Key Responsibilities:** - Collaborate with data science teams to ensure seamless integration of TensorFlow, Keras, and other deep learning frameworks into production pipelines. - Optimize and manage Kubernetes clusters for scalable and efficient deployment. - Utilize ONNX and C-based deployments for optimized model execution and scalability. - Monitor model performance, detect model drift, and ensure the robustness of deployed models in production environments. - Provide support for end-to-end machine learning pipelines, from data ingestion to model deployment. - Ensure effective communication with cross-functional teams to align on project goals and deliverables. **Qualifications Required:** - Proficiency in Python programming. - Hands-on experience with containerized GPU deployments using Docker. - Proven track record of working on multi-modal projects involving audio, video, and image processing. - Strong expertise in deep learning frameworks such as TensorFlow and Keras. - Experience with Kubernetes for managing scalable machine learning deployments. - Familiarity with ONNX and C-based model deployment frameworks. - Knowledge of model monitoring techniques, including model drift detection and management. If you are interested in this role, you should have 6+ years of experience in a similar position and hold a Bachelors or Masters degree in Computer Science, Engineering, or a related field. If you join Zzazz, you will be part of a pioneering team that is transforming how digital content is valued and experienced using advanced Economic AI. Zzazz aims to create a meaningful impact on a global scale by reshaping industries worldwide through innovative AI and economic solutions.,