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 agile 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.
About the Role
We are looking for a motivated MLOps Engineer with solid backend engineering and deployment
experience. The ideal candidate will help design, build, and deploy scalable ML pipelines and
microservices while ensuring seamless model integration into production environments.
Key Responsibilities
• Develop, maintain, and optimize Python-based microservices using FastAPI / Flask /Django.
• Design and manage message queue systems with Kafka or RabbitMQ for large-scale data pipelines.
• Work with databases like MongoDB, Elasticsearch,
Cosmos DB, OpenSearch, or Qdrant for
storage and retrieval.
• Deploy and monitor machine learning models in production environments.
• Collaborate with data science teams to operationalize ML workflows.
• Implement CI/CD pipelines for ML and data systems.
• Ensure reliability, scalability, and performance of deployed models and services.