About this role
Summary: Jobvous Staffing Solutions is seeking an ML Engineer to build and deploy production-scale machine learning models for energy and technology clients. The role involves developing ML pipelines, collaborating with data engineering teams, and communicating technical value to stakeholders.
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