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Texas Licensed Senior Machine Learning Engineer

Location: Remote
Compensation: Salary
Reviewed: Wed, Sep 02, 2026
This job expires in: 28 days

Job Summary

To support enterprise-wide artificial intelligence initiatives, the full-time Texas Licensed Senior Machine Learning Engineer will oversee the end-to-end AI model lifecycle, design CI/CD pipelines, and promote responsible AI practices while working remotely within Texas.

Key responsibilities
  • Oversee end-to-end AI model lifecycles including training, evaluation, deployment, monitoring, and maintenance of production-quality machine learning models
  • Design and implement CI/CD pipelines for model training, deployment, monitoring, and retraining, focusing on security and scalability
  • Collaborate with stakeholders to gather requirements and integrate models into enterprise systems while delivering training to enhance AI understanding
Required qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field; Master's degree preferred
  • Five years of experience in machine learning engineering, data science, or software engineering (three years with a Master's, one year with a PhD)
  • Experience developing MLOps pipelines for AI models and custom machine learning algorithms
  • Hands-on experience in deploying and maintaining machine learning systems in production environments
  • Knowledge of containerization and orchestration technologies such as Docker and Kubernetes

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