MLOps Engineer

Bangalore Office on site Until 8/22/2026 First posted March 18, 2026 Last posted March 18, 2026
Job description

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.

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

About this role

Summary

Design, deploy, and monitor scalable machine learning models with containerization and orchestration tools

Job title

MLOps Engineer

Experience level

4+ years

Industry

software

Location requirements

Bangalore office; remote not specified

Salary

Not specified

Management role

No

Skills & keywords

Required skills

pythondockertensorflowkeraskubernetesonnxmodel monitoring

Preferred skills

None specified

Specializations

machine learningdeep learningkubernetesdockermodel deployment
Locations

Structured locations inferred from the posting.

Unknown location

On-site