INACTIVE

Full-Time

MLOps Engineer

Posted on 8/23/2025

Zzazz

51-200 employees

Real-time AI-driven digital content valuation platform

No salary listed

Bengaluru, Karnataka, India

In Person

Category

AI & Machine Learning (2)
,

Required Skills

Kubernetes

Python

Tensorflow

Keras

Docker

C/C++

Requirements

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.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
4+ years of experience in a similar role.

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.

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

Zzazz

View Company Profile

Kunato.ai provides an AI-powered subscription platform that automatically values digital content in real time. Its quantitative deep learning system uses neural networks to predict, assign, and update the value of digital assets without human input. Target customers include content creators, publishers, and platforms seeking dynamic valuations and predictable pricing. The service emphasizes data security and aims to help clients make informed asset decisions with continuous, automated valuations.

Company Size

51-200

Company Stage

Series A

Total Funding

$13.1M

Headquarters

San Francisco, California

Founded

N/A

Simplify's Take

What believers are saying

Zzazz enables next-gen trading strategies via information arbitrage and alpha generation.
Zzazz creates new market for predictive informational layers across industries.
Zzazz's AI quantifies real-time datasets revolutionizing information economy.

What critics are saying

Zerodha and Upstox erode Zzazz's advantage with local bases by March 2026.
SEBI crackdown halts Zzazz operations for unlicensed data trading by April 2027.
Open-source Llama 3.1 obsoletes Zzazz's networks by October 2027.

What makes Zzazz unique

Zzazz operates as 'Nasdaq of Data' turning information into tradeable assets.
Zzazz inverts markets by pricing data like sentiment shifts before asset moves.
Zzazz launched in India 30 days ago pricing datasets from fintech to agribusiness.

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Benefits

Flexible Work Hours

INACTIVE