ML Engineer — Production AI Systems

About the opportunity:

Jobvous Staffing Solutions is placing ML Engineers with Houston's top energy and technology companies. These roles are for engineers who build models that work in the real world — not just hit benchmarks in a Jupyter notebook.

If you have production MLOps experience, strong PyTorch skills, and the ability to communicate your work to non-technical stakeholders, we have multiple opportunities waiting for you.

• Develop and deploy machine learning models to production at scale
• Build and maintain ML pipelines using MLflow, Databricks, or similar tools
• Collaborate with data engineering teams on feature pipelines and model serving
• Monitor model performance and implement retraining workflows
• Translate complex ML concepts into clear business value for stakeholders

• 3–8 years of ML engineering experience with production deployment
• Strong Python and PyTorch (or Tensor Flow) proficiency
• MLOps experience — MLflow, CI/CD for ML, Docker, model monitoring
• Databricks and Azure ML experience highly valued
• Energy or industrial domain experience is a differentiator
• Houston-based or willing to relocate — onsite and hybrid roles available