ML Engineer-Databricks

Posted 3 Days Ago
San Jose, CA, USA
In-Office
Senior level
Artificial Intelligence • Cloud • Information Technology • Analytics • Business Intelligence • Consulting • App development
Award-winning, US-headquartered partner driving cloud, integration, and AI-led transformation with 2,000+ employees.
The Role
Design, develop, deploy, and optimize scalable machine learning models and workloads on cloud platforms. Build ML scoring processes, APIs, microservices, automated workflows, monitoring, and alerting. Support ML go-to-market initiatives and collaborate with Product and Engineering teams on compliant architecture and deployment. The role requires Databricks, cloud ML, end-to-end ML systems, data pipelines, FastAPI, data warehouses, Docker, Kubernetes, and strong software engineering practices.
Summary Generated by Built In
ML Engineer-Databricks1
  • 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 implementationCollaborate 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

Skills Required

  • Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related technical field
  • 5+ years of experience as an AI/ML Engineer
  • Experience in machine learning, data engineering, ML infrastructure, or related fields
  • Strong foundations in probability, statistics, and machine learning
  • Hands-on experience with Databricks, including Unity Catalog
  • Experience with 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
  • Experience with Python, NumPy, Pandas, and SQL
  • Experience building scalable APIs and microservices using FastAPI
  • Experience with Snowflake or equivalent data warehouse technologies
  • Experience deploying production workloads using Docker and Kubernetes
  • Strong written, verbal, presentation, communication, and cross-functional collaboration skills
  • Ability to work independently or collaboratively with minimal direction

Jade Global Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Jade Global and has not been reviewed or approved by Jade Global.

  • Healthcare Strength — Core medical, dental, and vision coverage appears established with mainstream U.S. carriers, forming a solid baseline of healthcare support. EAPs and tax‑advantaged accounts (FSAs/HSAs) are also cited, indicating options beyond basic insurance.
  • Retirement Support — A 401(k) program with employer match is consistently referenced as part of the package. Availability of traditional and Roth options is noted, supporting long‑term savings flexibility.
  • Parental & Family Support — Parental leave is referenced, and family‑oriented offerings such as backup childcare are highlighted in company materials. These elements can enhance the overall family support experience even when cash pay is not top‑tier.

Jade Global Insights

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The Company
HQ: San Jose, California
2,000 Employees
Year Founded: 2003

What We Do

A Trusted Partner for Every Digital Enterprise Bringing Value. Jade Global is a global IT consulting company with two decades of industry experience that helps the world’s leading businesses and organizations build their digital core, optimize their operations, and accelerate revenue growth. We are headquartered in San Jose, California; Jade Global operates with offices in 13 locations across North America, the UK, and Asia. Renowned as a trusted "partner of choice" for businesses in Healthcare & Life Sciences, Hi-tech, Retail, Manufacturing, and Financial Industries, Jade Global has innovated 30+ industry-specific solutions. Whether your focus is harnessing or expanding Gen-AI, AI, and digital capabilities, transforming operating models, or accelerating insightful decision-making, we’re here to help you gain and maintain a competitive edge with efficient, sustainable models. At Jade Global, it’s all about outcomes—your outcomes—and delivering the results you desire, tailored to your unique requirements

Why Work With Us

We are Great Place to Work Certified company and Jade focus on people first approach.

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