ML Engineer-Databricks

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

ML Engineer - Databricks

Design and develop scalable ML models and workloads on cloud ML platforms such as Azure ML Studio, AWS, or GCP. Facilitate and participate in the preparation of ML models and their scoring processes. Develop and support the ML portion of the DT GoToMarket strategy to maximize the distribution of ML predictions and recommendations, including publish microservices/APIs. Incorporate workflows into ML Model Engineering processes, to automate, monitor, and produce alerts. Implement performance tuning and model optimization. Stay current on emerging ML platforms and technologies and recommend solutions that would enhance current systems or implementation.

Collaborate with Product and Engineering team members to follow all documented architecture, design & deployment processes to ensure compliance with policies.

Skills & Background

• Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, or equivalent field, with strong communication and cross-functional collaboration skills.
• Bachelor's degree in a technical field such as computer science, computer engineering or related field required.
• 5+ years of experience as AI/ML Engineer
• Ability to work as part of a team and collaborate, as well as work independently or with minimal direction
• Excellent written, presentation, and verbal communication skills
• Experience in Machine Learning, Data Engineering, ML Infrastructure, or related fields, with strong foundations in probability, statistics, and machine learning.
• Hands-on experience with Databricks, including Unity Catalog, and cloud ML platforms such as Azure ML Studio, AWS, or GCP.
• Experience building and scaling end-to-end ML systems, ETL/ELT pipelines, and data workflows using Python, NumPy, Pandas, and SQL.
• Experience building scalable APIs and microservices using FastAPI, with Snowflake or equivalent data warehouse technologies.
• Experience deploying production workloads using Docker and Kubernetes, with a strong understanding of scalable, reliable software engineering practices.

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additional compensation may include benefits, discretionary bonuses, and equity.

Company Culture

Working at Jade Global Talented people are drawn to world-class organizations that offer outstanding opportunities, and Jade Global is an employer of choice for individuals around the world. We invest in each employee's personal and professional wellbeing because we understand that client success, as well as our ultimate success, starts with our employees. We seek to provide the benefits you need while standing behind you every step of the way.

Benefits

• Additional compensation may include benefits, discretionary bonuses, and equity
• Our programs include health-related policies and leave donation policy.