Jade Global

ML Engineer-Databricks

Jade Global
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1 day ago
San Jose, CA, USASenior

Responsibilities

  • Design and develop scalable machine learning models and workloads on Databricks and cloud ML platforms.
  • Prepare ML models and scoring processes and support the ML portion of the Databricks go-to-market strategy.
  • Publish microservices and APIs to distribute ML predictions and recommendations.
  • Automate, monitor, and create alerts for ML model engineering workflows.
  • Tune performance and optimize machine learning models.
  • Evaluate emerging ML platforms and technologies and recommend system improvements.
  • Collaborate with Product and Engineering teams to follow architecture, design, deployment, and compliance processes.

Requirements

  • 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 with machine learning, data engineering, ML infrastructure, probability, statistics, and machine learning fundamentals.
  • 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 and working with Snowflake or equivalent data warehouse technologies.
  • Experience deploying production workloads using Docker and Kubernetes.
  • Strong written, verbal, presentation, teamwork, independent-work, and cross-functional collaboration skills.

Benefits

  • Additional compensation may include benefits, discretionary bonuses, and equity.

Tech Stack

AWSDatabricksDockerFastAPIGoogle Cloud PlatformKubernetesNumPyPandasPythonSnowflakeSQL

Categories

Jade Global

About Jade Global

1,001-5,000 employees

Jade Global provides IT consulting, systems integration, and managed services for enterprises, covering cloud transformation, ERP/CRM modernization, data and analytics, integration, and automation. It implements and supports platforms from Oracle, Salesforce, SAP, ServiceNow, Workday, Snowflake, and Boomi. Privately held and founded in 2003, the company is headquartered in San Jose, California and serves customers across North America, Europe, and APAC.

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