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.

Responsibilities:

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

What we are looking for:

3–8 years of ML engineering experience with production deployment

Strong Python and PyTorch (or TensorFlow) 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