Job Description
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 Fast API / Flask / Django.
- Design and manage message queue systems with Kafka or Rabbit MQ for large-scale data pipelines.
- Work with databases like Mongo DB, Elasticsearch, Cosmos DB, Open Search, 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 / Rabbit MQ
- Databases: Mongo DB / Elasticsearch / Cosmos DB / Open Search / Qdrant
- Web Frameworks: Fast API / 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
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 Fast API / Flask / Django.
- Design and manage message queue systems with Kafka or Rabbit MQ for large-scale data pipelines.
- Work with databases like Mongo DB, Elasticsearch, Cosmos DB, Open Search, 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 / Rabbit MQ
- Databases: Mongo DB / Elasticsearch / Cosmos DB / Open Search / Qdrant
- Web Frameworks: Fast API / 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
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