The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Establish model and data monitoring, validation checks, and operational observability; support ...
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Establish model and data monitoring, validation checks, and operational observability; support ...
Machine Learning Developer
Dallas, TX · On-site
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Establish model and data monitoring, validation checks, and operational observability; support ...
Machine Learning Developer
Dallas, TX · On-site
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Establish model and data monitoring, validation checks, and operational observability; support ...
Machine Learning Engineer
Austin, TX · On-site
Role: Jr-Mid Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC ... DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps ...
Machine Learning Engineer
Austin, TX · On-site
Role: Jr-Mid Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC ... DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps ...
As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior ... operations stakeholders to ensure ML outputs are technically accurate, interpretable, and ...
As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior ... operations stakeholders to ensure ML outputs are technically accurate, interpretable, and ...
As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior ... operations stakeholders to ensure ML outputs are technically accurate, interpretable, and ...
As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior ... operations stakeholders to ensure ML outputs are technically accurate, interpretable, and ...
... improve operations * Experience with building Data Pipelines in Spark, Tuning Spark queries * Understands Python Machine Learning libraries and ecosystems (i.e., Pandas, Numpy, etc.) * Working ...
... improve operations * Experience with building Data Pipelines in Spark, Tuning Spark queries * Understands Python Machine Learning libraries and ecosystems (i.e., Pandas, Numpy, etc.) * Working ...
Machine Learning Engineer
Plano, TX · On-site
As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior ... operations stakeholders to ensure ML outputs are technically accurate, interpretable, and ...
Machine Learning Engineer
Plano, TX · On-site
As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior ... operations stakeholders to ensure ML outputs are technically accurate, interpretable, and ...
Machine Learning Engineer II
Irving, TX · On-site
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...
Machine Learning Engineer II
Irving, TX · On-site
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...
Machine Learning Engineer II
Irving, TX · On-site
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...
Machine Learning Engineer II
Irving, TX · On-site
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...
Build and maintain pipelines and frameworks for model training, evaluation, optimization, monitoring, and machine learning operations * Implement responsible AI practices, model risk controls, and ...
Build and maintain pipelines and frameworks for model training, evaluation, optimization, monitoring, and machine learning operations * Implement responsible AI practices, model risk controls, and ...
Machine Learning Engineer II
Irving, TX · On-site
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...
Machine Learning Engineer II
Irving, TX · On-site
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps. * Experience building, training, validating, and deploying machine learning ...
Build and maintain pipelines and frameworks for model training, evaluation, optimization, monitoring, and machine learning operations * Implement responsible AI practices, model risk controls, and ...
Build and maintain pipelines and frameworks for model training, evaluation, optimization, monitoring, and machine learning operations * Implement responsible AI practices, model risk controls, and ...
Build and maintain pipelines and frameworks for model training, evaluation, optimization, monitoring, and machine learning operations * Implement responsible AI practices, model risk controls, and ...
Build and maintain pipelines and frameworks for model training, evaluation, optimization, monitoring, and machine learning operations * Implement responsible AI practices, model risk controls, and ...
Build and maintain pipelines and frameworks for model training, evaluation, optimization, monitoring, and machine learning operations * Implement responsible AI practices, model risk controls, and ...
Build and maintain pipelines and frameworks for model training, evaluation, optimization, monitoring, and machine learning operations * Implement responsible AI practices, model risk controls, and ...
AVP, Machine Learning & Modeling
Irving, TX · On-site
$156K - $290K/yr
... operational excellence, and client value creation. Serve as a key thought leader, guiding the ... Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ...
AVP, Machine Learning & Modeling
Irving, TX · On-site
$156K - $290K/yr
... operational excellence, and client value creation. Serve as a key thought leader, guiding the ... Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ...
AVP, Machine Learning & Modeling
$156K - $290K/yr
... operational excellence, and client value creation. Serve as a key thought leader, guiding the ... Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ...
AVP, Machine Learning & Modeling
$156K - $290K/yr
... operational excellence, and client value creation. Serve as a key thought leader, guiding the ... Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ...
Machine Learning Engineer
Austin, TX · On-site
Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard ... Operational Support * Support response to urgent software or analytical issues affecting supported ...
Quick apply
Machine Learning Engineer
Austin, TX · On-site
Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard ... Operational Support * Support response to urgent software or analytical issues affecting supported ...
Machine Learning Developer
Dallas, TX · On-site
$115K - $140K/yr
Our client is a well-established energy organization with significant operations in the Permian Basin. The company is expanding its artificial intelligence and machine learning capabilities and ...
New
Quick apply
Machine Learning Developer
Dallas, TX · On-site
$115K - $140K/yr
Our client is a well-established energy organization with significant operations in the Permian Basin. The company is expanding its artificial intelligence and machine learning capabilities and ...
New
Machine Learning Developer
Dallas, TX · On-site
$115K - $140K/yr
Our client is a well-established energy organization with significant operations in the Permian Basin. The company is expanding its artificial intelligence and machine learning capabilities and ...
Machine Learning Developer
Dallas, TX · On-site
$115K - $140K/yr
Our client is a well-established energy organization with significant operations in the Permian Basin. The company is expanding its artificial intelligence and machine learning capabilities and ...
As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting-edge machine learning models and solutions to enhance various aspects of our business operations, from ...
As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting-edge machine learning models and solutions to enhance various aspects of our business operations, from ...
Machine Learning Operations information
What is the difference between Machine Learning Operations vs Data Scientist?
| Aspect | Machine Learning Operations | Data Scientist |
|---|---|---|
| Primary Focus | Deploying, maintaining, and scaling ML models in production | Analyzing data to develop insights and build models |
| Required Skills | ML deployment, cloud platforms, automation, scripting | Statistical analysis, data visualization, programming (Python/R) |
| Work Environment | Operations teams, cloud infrastructure, production systems | Research environments, data analysis teams, R&D |
| Common Certifications | Cloud certifications, MLOps tools certifications | Data science certifications, statistical courses |
Machine Learning Operations and Data Scientists often collaborate, but MLOps focuses on deploying and maintaining models in production, while Data Scientists focus on analyzing data and developing models. Both roles require technical skills, but their day-to-day tasks and environments differ.
Is machine learning operations a high paying job?
Machine Learning Operations (MLOps) roles typically offer high salaries due to the specialized skills required, such as expertise in cloud platforms, automation, and data engineering. Compensation varies based on experience, location, and company size, but generally ranks among well-paying tech jobs.
What are machine learning operations?
Machine Learning Operations (MLOps) is a set of practices that combines machine learning, software engineering, and DevOps to deploy, monitor, and maintain machine learning models in production environments. It involves tasks such as model versioning, automation, testing, and ensuring scalability and reliability using tools like CI/CD pipelines and cloud platforms.
What cities in Texas are hiring for Machine Learning Operations jobs?
Cities in Texas with the most Machine Learning Operations job openings:
Full-time
Posted 5 days ago
Job description
CURRENT EMPLOYEES - Please apply using "Jobs Hub" in Workday. This career site is for external applicants only.
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 aboutE-Verify.