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MLOps Engineer

zzazzBangalore Office
On-site Full-time

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Experience Level

Experience

Qualifications

Required Skills• Expertise in Python programming.• Proven experience with containerized GPU deployments using Docker.• Demonstrated success in multi-modal projects encompassing audio, video, and image processing.• Strong proficiency in deep learning frameworks, particularly TensorFlow and Keras.• Familiarity with Kubernetes for managing scalable machine learning applications.• Knowledge of ONNX and C-based deployment strategies.• Understanding of model monitoring techniques, including detecting and managing model drift.

About the job

Key Responsibilities

• Infrastructure Development: Architect, set up, and oversee containerized GPU deployments utilizing Docker.

• Multi-modal Project Execution: Seamlessly integrate and deploy machine learning models tailored for audio, video, and image processing applications.

• Framework Collaboration: Work closely with data science teams to facilitate the integration of TensorFlow, Keras, and other deep learning frameworks into production workflows.

• Kubernetes Optimization: Enhance and manage Kubernetes clusters to ensure scalable and efficient model deployment.

• Model Performance Optimization: Employ ONNX and C-based frameworks for highly efficient model execution and scalability.

• Continuous Model Monitoring: Track model performance, identify model drift, and ensure the stability of deployed models in operational environments.

• End-to-End Pipeline Support: Assist with comprehensive machine learning pipelines, from initial data ingestion to final model deployment.

• Cross-team Collaboration: Foster effective communication among cross-functional teams to align on project objectives and deliverables.

About zzazz

Zzazz is at the forefront of revolutionizing the global information economy by redefining the value and experience of digital content. Our pioneering Economic AI technology quantifies and enhances user engagement, setting new standards in the industry.

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