Machine Learning Engineer

1 week ago


Bengaluru, Karnataka, India Zzazz Full time ₹ 15,00,000 - ₹ 25,00,000 per year

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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