Machine Learning operation Engineer

5 days ago

Bengaluru, India Zzazz Full time

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 scale.

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.

Skillset

- 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.Experience
- 4+ years of experience in a similar role.

Qualification

- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

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