Senior ML Engineer - Databricks & Cloud ML

Jade Global; San Jose (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Jade Global in San Jose, CA is seeking a seasoned ML Engineer with Databricks experience to design and scale ML workloads on cloud platforms. You will build end-to-end ML systems, publish microservices and APIs, and integrate ML workflows into production data pipelines.

The ideal candidate has 5+ years in AI/ML, strong Python/Spark, and hands-on deployment with Docker and Kubernetes in cloud environments. Collaboration with product and engineering teams is essential.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Statistics, or equivalent field.
• 5+ years of experience as AI/ML Engineer.
• Hands-on experience with Databricks and cloud ML platforms.
• Experience deploying production workloads with Docker and Kubernetes.

Responsibilities

• Design and develop scalable ML models and workloads on cloud ML platforms.
• Prepare ML models and their scoring processes.
• Develop ML portions of GoToMarket strategy, publish microservices/APIs.
• Automate, monitor, and produce alerts for ML workflows.
• Collaborate with Product and Engineering to follow deployment processes.

Skills

Databricks

Unity Catalog

Azure ML

AWS

GCP

Python

NumPy

Pandas

SQL

APIs

Docker

Kubernetes

ML Engineering

Education

Bachelor's degree in a technical field

Tools

Databricks

Job description

Jade Global in San Jose, CA is seeking a seasoned ML Engineer with Databricks experience to design and scale ML workloads on cloud platforms. You will build end-to-end ML systems, publish microservices and APIs, and integrate ML workflows into production data pipelines.

The ideal candidate has 5+ years in AI/ML, strong Python/Spark, and hands-on deployment with Docker and Kubernetes in cloud environments. Collaboration with product and engineering teams is essential.