To Apply for this Job Click Here

Azure MLOps Architect  (Hybrid- 4 weeks onsite then remote )
Location : San Francisco, CA 94107
Contract: 2 month contract

Key job responsibilities:

• Building a new Azure MLOps platform to host their recommendation models.
• Build ML Work Flows, ML Serving Platform to host different kinds of models, build ML deployment pipelines in Azure, Expertise in ML Model Experimentation)

Qualifications: 

• Degree or certification in Web Development, Digital Programming, Computer Science, or equivalent experience in a related skillset.
• MLOps engineering and architecture experience
• High-performance model serving exp.
• Experience in building ML Work Flows, ML Serving Platforms
• ML Model Experimentation exp.
• Building ML Deployment exp. in Azure
•  Good interpersonal, written, and verbal communication skills.

Nice to have:

• Experience with Databricks
• GCP experience
• A solid understanding of Cosmos DB (especially DogDB/Stardog schema), vector search, embeddings, serverless compute, Kubernetes (AKS)
• Experience with infrastructure tools like Terraform is essential, with app development and infrastructure as the primary focus and data engineering as a secondary skill.
• They should excel in designing and optimizing solutions involving low-latency services, API gateways, and event hubs, with a strong focus on performance tuning and load management

To Apply for this Job Click Here