ML Platform Engineer (Databricks & MLOps)

Diamondback Energy, Inc.; Dallas, Northern (TX, KY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Diamondback Energy, Inc. is seeking a dedicated ML Developer to establish development practices and platform foundations that move models from experimentation to governed production.

You will work in the Databricks ecosystem to define model building, tracking, deployment, and monitoring standards. You will partner with data science teams, design automated pipelines, and ensure lifecycle governance with robust observability, versioning, and data quality controls.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related field.
• 3–5 years of hands-on experience building, deploying, and operating machine learning or data-intensive systems in production.
• Hands-on experience with Databricks MLflow and AutoML.
• Strong Python, SQL, and Spark skills; write tested, maintainable production code.
• Experience establishing or operating an MLOps workflow, including deployment and monitoring.
• Proficiency with Git, CI/CD, unit testing, and software design patterns.
• Ability to explain ML algorithms and follow training, evaluation, and tuning best practices.
• Strong communication and cross-team collaboration skills.

Responsibilities

• Establish MLOps standards, pipelines, and a production-ready path for models.
• Productionize models using Databricks MLflow, AutoML, and Unity Catalog.
• Design and maintain CI/CD pipelines for model training and deployment.
• Govern model lifecycle: tracking, registration, lineage, and access control.
• Monitor data quality, feature versions, and model performance in production.
• Lead documentation, playbooks, and knowledge sharing across teams.
• Coordinate with business, data scientists, data engineers, and IT to drive adoption of shared frameworks.
• Evaluate new tools and patterns, including agentic and GenAI workflows.

Skills

Python

Databricks MLflow

AutoML

CI/CD

MLOps

SQL

Spark

Git

Education

Bachelor's degree in CS/DS/Engineering

Tools

Unity Catalog

Databricks

MLflow

Docker

Job description

Diamondback Energy, Inc. is seeking a dedicated ML Developer to establish development practices and platform foundations that move models from experimentation to governed production.

You will work in the Databricks ecosystem to define model building, tracking, deployment, and monitoring standards. You will partner with data science teams, design automated pipelines, and ensure lifecycle governance with robust observability, versioning, and data quality controls.