ML Engineer & MLOps Architect — Databricks

Addison Group; Dallas (TX); On-site; USD 115,000 - 140,000; Full time

Job summary

Addison Group seeks a Machine Learning Developer in Dallas, TX to lead the first dedicated ML engineering function. You will create the MLOps framework, standards, and platform foundation to move models from experimentation into production.

The role is hands-on with significant influence over ML strategy, technology choices, and implementation work. A fast-moving, entrepreneurial environment awaits.

Qualifications

• Bachelor’s degree in computer science, data science, engineering, mathematics, statistics, or related field.
• 3–5 years of experience developing, deploying, or supporting machine learning or data-intensive production systems.
• Hands-on experience with Databricks MLflow and AutoML.
• Advanced Python skills for clean, tested, and maintainable production code.
• Strong SQL and familiarity with Spark or distributed data processing.
• Experience with MLOps: automated pipelines, model deployment, monitoring, and governance.
• Knowledge of Git, unit testing, CI/CD, and common application design principles.
• Ability to translate complex technical topics for technical and nontechnical audiences.
• Excellent analytical and problem-solving skills; able to work independently.

Responsibilities

• Develop the organization’s MLOps strategy, technical standards, reusable workflows, and preferred process for moving models into production.
• Build and support machine learning solutions within the Databricks environment.
• Collaborate with data scientists to deploy models using tools such as MLflow, AutoML, Unity Catalog, and Databricks Model Serving.
• Create automated CI/CD processes for model training, deployment, testing, and promotion between environments.
• Manage the full model lifecycle, including experiment tracking, model registration, version control, lineage, governance, and user access.
• Implement monitoring and validation processes for production models, features, and source data.
• Establish operational visibility for ML systems and assist with troubleshooting and production support when issues arise.
• Develop standards for data quality, feature reliability, schema validation, and data version management.
• Produce technical documentation, reference designs, reusable templates, and engineering playbooks.
• Lead code reviews and share best practices with data science and engineering professionals.
• Work with business leaders, data scientists, data engineers, and IT teams to define requirements and encourage adoption of shared ML frameworks.
• Research emerging technologies and recommend enhancements to machine learning delivery, including GenAI, agent-based systems, and AI-assisted development tools.
• Present technical recommendations to stakeholders and confidently explain or defend a position when viewpoints differ.

Skills

Databricks MLflow

AutoML

Python

SQL

MLOps

CI/CD

Git

Education

Bachelor's degree

Tools

Databricks

MLflow

AutoML

Job description

Addison Group seeks a Machine Learning Developer in Dallas, TX to lead the first dedicated ML engineering function. You will create the MLOps framework, standards, and platform foundation to move models from experimentation into production.

The role is hands-on with significant influence over ML strategy, technology choices, and implementation work. A fast-moving, entrepreneurial environment awaits.