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Senior Machine Learning Engineer

$145,500 - $218,500/Yr

University of Texas M.D. Anderson - Houston, TX

posted 9 days ago

Full-time - Senior
Houston, TX
Hospitals

About the position

The University of Texas M. D. Anderson Cancer Center is seeking a Senior MLOps Engineer to advance MLOps initiatives across the enterprise. This role is critical for orchestrating an AI lifecycle management framework, encompassing the development, deployment, and maintenance of production-quality machine learning models to support clinical and business operations. The Senior MLOps Engineer will also support the assessment and validation of external machine learning models and AI-driven products, fostering a culture of innovation and strong MLOps practices across the organization.

Responsibilities

  • Oversee the lifecycle of AI models, encompassing training, evaluation, deployment, monitoring, and maintenance of production quality machine learning models.
  • Develop CI/CD pipelines for ML model training, deployment, and monitoring while upholding security, scalability, reliability, reproducibility, and performance.
  • Provide rigorous testing, versioning, and documentation, ensuring impact, risk mitigation, and reproducibility.
  • Develop and support a culture of responsible AI by minimizing bias, enhancing fairness, and maximizing transparency in AI models.
  • Maintain diligent records of model development experiments, data and model lineage tracking, as well as data and model scorecards.
  • Engage with stakeholders to gather requirements, convey AI concepts understandably, and capture feedback.
  • Design fallback and decommissioning strategies for AI solutions to ensure operational continuity.
  • Support the evaluation and onboarding of third-party machine learning models, ensuring they meet institutional standards.
  • Deliver training on AI solutions to enhance understanding and application across the organization.
  • Engage with technology trends, contribute to tech communities, and foster a culture of continuous learning and innovation.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Physics, Math & Statistics, or another related engineering discipline.
  • Five years of experience in machine learning engineering, data science, data engineering, and/or software engineering.
  • Proficient in developing, deploying, and maintaining AI/ML algorithms in production environments.
  • Skilled in constructing scalable data pipelines, feature and artifact management, and analytics.
  • Strong proficiency in Python and either C++ or C#, with practical knowledge of TensorFlow, PyTorch, and Scikit-learn.
  • Knowledgeable about AI/ML platform infrastructure, including cloud and on-premises architectures.
  • Familiar with cloud-native tools, services, and computing environments (e.g., Azure, AWS, GCP).
  • Proficient in DevOps practices and CI/CD pipelines, including Azure DevOps and GitHub Actions.
  • Experienced with containerization using Docker and orchestration with Kubernetes.

Nice-to-haves

  • Master's Level Degree.
  • Experience developing MLOps pipelines for computer vision AI models.
  • Experience leading the deployment and maintenance of multiple machine learning models into production environments.
  • 5 years of industry experience in data science, with at least 3 of those years as a Senior Machine Learning Engineer.

Benefits

  • Referral Bonus Available
  • Relocation Assistance Available
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