Production ML Engineer: Databricks & MLOps

Viking; Los Angeles (CA); Hybrid; USD 155,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Annual discretionary bonus

401(k) with company match

ESPP Viking employees

Medical, dental, vision benefits

Paid vacation and holidays

Cruise discounts

Gym membership subsidies

Job summary

Viking in Woodland Hills, CA is seeking a Machine Learning Engineer to join our Data Platforms & Solutions team. You will design, productionize, deploy, and operate machine learning solutions that support management decisions.

This role bridges data science, data engineering, and software engineering. You will collaborate with data scientists, engineers, analysts, product partners, and software developers to translate experimental models into scalable, reliable, governed production systems on

Qualifications

• Bachelor's degree or equivalent practical experience.
• 4+ years in production ML or related fields.
• Strong Python and SQL production code.
• Experience with cloud platforms (Azure preferred).

Responsibilities

• Design, deploy, and maintain production-grade ML solutions.
• Collaborate with data scientists to productionize models.
• Build and maintain feature engineering and training pipelines.
• Implement and monitor MLOps practices including CI/CD and model versioning.

Skills

Python

SQL

MLOps

Model Deployment

Collaboration

Education

Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, or related field

Tools

Databricks

MLflow

Spark

Git

Job description

Viking in Woodland Hills, CA is seeking a Machine Learning Engineer to join our Data Platforms & Solutions team. You will design, productionize, deploy, and operate machine learning solutions that support management decisions.

This role bridges data science, data engineering, and software engineering. You will collaborate with data scientists, engineers, analysts, product partners, and software developers to translate experimental models into scalable, reliable, governed production systems on