Machine Learning Developer; MLOps & AI Platforms

Pay: $112k-$140k with 15% STI & 20% LTI.

Location:

Dallas

What if you had the opportunity to be the architect behind an organization's machine learning future?

We are partnering with a highly respected, data-driven enterprise that is making a significant investment in AI, machine learning, and advanced analytics. As the first dedicated Machine Learning Developer on the team, you will have a rare opportunity to define the standards, platforms, and engineering practices that transform innovative data science experiments into scalable, reliable production solutions.

This is not a maintenance role. This is a chance to build the machine learning delivery framework from the ground up, influence enterprise-wide AI strategy, and establish the blueprint that future teams will follow.

If you are passionate about MLOps, production machine learning, automation, and emerging AI technologies, this role offers the visibility, ownership, and impact to help shape an organization’s next generation of intelligent solutions.

As the Machine Learning Developer, you will serve as the bridge between data science innovation and enterprise-grade software engineering.

You will:

• Create the organization's MLOps framework and define best practices for moving models from experimentation to production
• Build reusable machine learning deployment patterns and establish the team's "golden path" for ML development
• Partner closely with data scientists to product ionize models within the Databricks ecosystem
• Design and automate CI/CD pipelines for model training, testing, deployment, and promotion across environments
• Implement governance, lineage, versioning, and lifecycle management for machine learning assets
• Develop monitoring, observability, and reliability standards for production ML solutions
• Ensure model and feature quality through validation frameworks and automated controls
• Create technical documentation, reference architectures, and engineering playbooks
• Guide technical teams through code reviews and adoption of modern ML engineering practices
• Evaluate and introduce emerging AI technologies, including Generative AI, LLM-enabled workflows, and agentic development approaches

This is the organization's first dedicated ML Development hire. You'll set the standards, select the patterns, and help establish the future operating model for machine learning delivery.

Your work will directly influence how AI solutions are developed, governed, deployed, and scaled across the business.

Work extensively with:

• Databricks
• MLflow
• AutoML
• Unity Catalog
• Model Serving
• Python
• SQL
• Spark
• CI/CD Platforms
• Cloud-Based Data and AI Technologies

Explore cutting-edge AI delivery approaches including large language models, retrieval-augmented generation, AI-assisted development, and emerging machine learning operations capabilities.

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related discipline
• 3 to 5 years of experience building and deploying production machine learning or data-intensive applications
• Hands-on experience with Databricks MLflow and AutoML
• Strong Python development skills with experience writing maintainable, production-quality code
• Strong SQL expertise and experience with Spark or distributed data processing technologies
• Experience creating and operating MLOps processes and deployment frameworks
• Knowledge of software engineering best practices including Git, testing methodologies, CI/CD, and design patterns
• Understanding of machine learning algorithms, model…