Description

Must-Have Skills:
Expertise in MLOps engineering and architecture
High-performance model serving experience
Building ML Workflows and ML Serving Platforms
ML Model Experimentation experience
Proven track record in Azure ML Deployment

Qualifications:
Degree in Web Development, Digital Programming, Computer Science, or equivalent experience
Proficiency in Terraform, Kubernetes (AKS), and serverless compute
Strong understanding of Cosmos DB, vector search, and embeddings
Experience with Databricks and GCP
Expertise in designing low-latency services, API gateways, and performance tuning

Key Skills
Education

Any Graduate

Back To Jobs