ML Engineer - Databricks: Scale ML & Build Microservices

Jade Global, Inc; San Jose (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equity

Discretionary bonuses

Health insurance

Leave donation policy

Job summary

Jade Global is seeking an ML Engineer - Databricks to design and deploy scalable ML models on cloud platforms such as Azure ML Studio, AWS, or GCP. You will build end-to-end ML workflows, publish microservices and APIs, and automate scoring processes while optimizing performance.

Collaborate with product and engineering teams to follow established architecture and deployment practices, contributing to the DT GoToMarket strategy and ensuring robust, scalable ML systems with monitoring and alerts.

Qualifications

• Bachelor's degree in CS/Math/Stats and strong communication skills.
• 5+ years AI/ML Engineer experience with end-to-end ML systems.
• Experience with Databricks and cloud ML platforms (Azure, AWS, GCP).

Responsibilities

• Design and develop scalable ML models and workloads on cloud platforms.
• Publish microservices/APIs and integrate ML scoring processes.
• Collaborate with Product/Engineering to follow deployment processes.

Skills

Databricks

Python

ML Infrastructure

Kubernetes

Docker

FastAPI

SQL

Azure ML Studio

AWS

GCP

Education

Bachelor's in CS/Math/Stats

Bachelor's in Computer Engineering

Tools

Unity Catalog

Snowflake

APIs

Docker

Kubernetes

Job description

Jade Global is seeking an ML Engineer - Databricks to design and deploy scalable ML models on cloud platforms such as Azure ML Studio, AWS, or GCP. You will build end-to-end ML workflows, publish microservices and APIs, and automate scoring processes while optimizing performance.

Collaborate with product and engineering teams to follow established architecture and deployment practices, contributing to the DT GoToMarket strategy and ensuring robust, scalable ML systems with monitoring and alerts.