Machine Learning Developer
Diamondback Energy2 months ago
Dallas, TX, USAMid Level / Senior
Responsibilities
- Establish MLOps standards, reusable pipeline patterns, and production workflows for moving machine learning models from notebooks to production.
- Partner with data science teams to productionize models using Databricks MLflow, AutoML, Unity Catalog, and Model Serving.
- Design and maintain CI/CD pipelines for model training, deployment, and controlled promotion across environments.
- Govern model experiment tracking, registration, versioning, lineage, access control, monitoring, validation, and operational observability.
- Enforce data and feature quality, schema validation, and data versioning for model training and inference.
- Support incident response and reliability of production machine learning systems.
- Create documentation, reference architectures, and playbooks; lead code reviews and knowledge-sharing.
- 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.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field.
- Three to five 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 proficiency in Python and 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 MLOps workflows, including model deployment, pipeline automation, monitoring, and lifecycle management.
- Software engineering fundamentals including Git, unit testing, CI/CD, and common design patterns.
- Ability to explain common machine learning algorithms and apply model training, evaluation, and hyperparameter-tuning best practices.
- Strong interpersonal, analytical, and communication skills for working across data science, engineering, and business teams.
- Preferred qualifications include Unity Catalog experience, Databricks certification, a related master’s degree, cloud data platform experience, infrastructure-as-code, containerization and orchestration familiarity, LLM/GenAI application patterns such as RAG and evaluation harnesses, and experience mentoring data scientists.
Tech Stack
Categories
About Diamondback Energy
Diamondback Energy is an independent, upstream oil and natural gas company focused on acquiring, developing, and producing unconventional reserves in the Permian Basin of West Texas. It generates revenue by selling crude oil, natural gas, and NGLs to refiners, marketers, and midstream companies under term and spot contracts. Founded in 2007, the company is headquartered in Midland, Texas and trades on NASDAQ under the ticker FANG.