Machine Learning Developer

Diamondback E&P LLC; Dallas (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Diamondback E&P LLC seeks an ML Developer to establish development practices and platform foundations to move models from experimentation to governed production. The role focuses on Databricks, MLflow, AutoML, Unity Catalog, and Model Serving, coordinating with data science and IT to meet company objectives.

You will define model deployment, monitoring, and data/versioning standards, while driving reusable pipelines, CI/CD, and documentation in a collaborative environment.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related field.
• Hands-on experience with Databricks MLflow and AutoML.
• 3–5 years building, deploying, and operating ML or data-intensive systems in production.
• Strong Python with production-quality code.
• Strong SQL and Spark or similar distributed processing.
• Experience establishing or operating an MLOps workflow.

Responsibilities

• Establish the department’s MLOps standards, reusable pipelines, and production path.
• Productionize models using Databricks MLflow, AutoML, Unity Catalog, and Model Serving.
• Design and maintain automated CI/CD pipelines for training and deployment.
• Govern the model lifecycle with tracking, versioning, lineage, and access control.
• Establish model and data monitoring, validation checks, and observability; support reliability of production ML systems.
• Enforce data and feature quality, schema validation, and data versioning.
• Author docs, architectures, and playbooks; lead code reviews and knowledge sharing.
• Coordinate with stakeholders to define requirements and drive framework adoption.
• Evaluate new tools and patterns, including LLM-assisted development workflows.

Skills

Python

SQL

Spark

Git

CI/CD

MLOps

Databricks MLflow

AutoML

Unity Catalog

Education

Bachelor’s Degree in Computer Science or related field

Master’s Degree (preferred)

Tools

Databricks MLflow

AutoML

Unity Catalog

Git

CI/CD tooling

Job description

The Machine Learning (ML) Developer is the first dedicated ML Development role in the department and is responsible for establishing the development practices, standards, and platform foundations that move machine learning models from experimentation into reliable, governed production. Working primarily within the Databricks ecosystem, the ML Developer will define how models are built, tracked, deployed, and monitored, and will coordinate with data science teams and technical professionals across the organization to ensure company objectives and goals are met.

Job Responsibilities:

• Include but are not limited to Establish the department’s MLOps standards, reusable pipeline patterns, and “golden path” for taking a model from notebook to production
• Partner with data science teams to productionize models using Databricks MLflow, AutoML, Unity Catalog, and Model Serving
• Design and maintain automated CI/CD pipelines for model training, deployment, and controlled promotion across environments
• Govern the model lifecycle through experiment tracking, model registration, versioning, lineage, and access control
• Establish model and data monitoring, validation checks, and operational observability; support incident response and reliability of production ML systems
• Enforce data and feature quality, schema validation, and data versioning so models train and infer on trusted inputs
• Author documentation, reference architectures, and playbooks; lead code reviews and knowledge-sharing to drive consistent engineering practice
• Coordinate with business stakeholders, data scientists, data engineers, and IT to define requirements and drive adoption of shared frameworks
• Evaluate emerging tools and patterns, including agentic and LLM-assisted development workflows, and recommend improvements to ML delivery

Required Qualifications:

• Bachelor’s Degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related field
• Must have hands-on experience with Databricks MLflow and AutoML
• Three (3) to five (5) years of hands‑on experience building, deploying, and operating machine learning or data-intensive systems in production
• Strong proficiency in Python as a primary engineering language, with experience writing tested, maintainable production code
• Strong SQL skills and working knowledge of Spark or other distributed data processing frameworks
• Practical experience establishing or operating an MLOps workflow, including model deployment, pipeline automation, monitoring, and lifecycle management
• Software engineering fundamentals including version control (Git), unit testing, CI/CD, and common design patterns
• Ability to explain the intuition behind common ML algorithms and follow model training, evaluation, and hyperparameter tuning best practices
• Strong interpersonal, analytical, and communication skills, with the ability to work effectively across data science, engineering, and business teams

Preferred Qualifications:

• Experience with Unity Catalog for model governance, lineage, and controlled promotion of ML assets
• Databricks certification (e.g., Databricks Certified Machine Learning Associate or Professional)
• Master’s Degree in a related field
• Familiarity with cloud data platforms, infrastructure-as-code, containerization and orchestration
• Exposure to LLM/GenAI application patterns such as RAG and evaluation harnesses, and to agentic or AI-assisted development workflows
• Experience mentoring or training data scientists on engineering best practices
• Ability to operate both independently and as part of a team
• Self-starter requiring minimal supervision with strong organizational and time management skills

Diamondback is an Equal Employment Opportunity Employer.

Diamondback provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, veteran or disability status, genetic information, pregnancy, or any other status protected by law.

Diamondback participates in E-Verify. Learn more about E-Verify.

Diamondback Energy is an independent oil and natural gas company headquartered in Midland, Texas focused on the acquisition, development, exploration, and exploitation of unconventional, onshore oil and natural gas reserves in the Permian Basin in West Texas.