ML Engineer-Databricks

Jade Global; San Jose (CA); Vor Ort; USD 140.000 - 200.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Databricks

Unity Catalog

Azure ML

AWS

GCP

Python

NumPy

Pandas

SQL

APIs

Docker

Kubernetes

ML Engineering

Ausbildung

Bachelor's degree in a technical field

Tools

Databricks

Jobbeschreibung

# Jade Global## ML Engineer-DatabricksApply: San Jose, CA: Full time: Posted Yesterday: R-106427ML 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