Junior MLOps Engineer

Role : Junior MLOps Engineer

Location : Shezan Lavelle, Bengaluru

Timings : 9 AM - 6 PM IST

Workdays : 5 days from office (Monday- Friday)

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.

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.

Mandatory Skills

• Programming: Python

• Message Queues: Kafka / RabbitMQ

• Databases: MongoDB / Elasticsearch / Cosmos DB / OpenSearch / Qdrant

• Web Frameworks: FastAPI / Flask / Django

• Model Deployment: Experience deploying ML models into production

• ML Knowledge: Basic understanding of ML models and lifecycle

Good to Have

• Containerization & Orchestration: Docker / Kubernetes

• GPU Workloads: Exposure to GPU-based computation or deployment environments

• Monitoring Tools: Experience with model and infrastructure monitoring tools