Description

You will design and implement end-to-end MLOps architectures and serving platforms on Azure.

This role is on-site.

Responsibilities

• Build and manage ML workflows and model serving platforms.
• Design low-latency services, API gateways, and implement performance tuning.
• Architect model experimentation frameworks and high-performance model serving systems.
• Deploy and manage machine learning models using Azure ML.

Required Skills

• 5+ years of experience in MLOps engineering and architecture.
• Proven track record with Azure ML deployment.
• Proficiency in Terraform and Kubernetes (AKS).
• Experience with serverless compute and Databricks.
• Hands-on experience with GCP.
• Working knowledge of Cosmos DB, vector search, and embeddings.

Preferred Skills

• Degree in Computer Science, Web Development, Digital Programming, or equivalent experience.

Key Skills

Education

Any Graduate