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Principle Machine Learning Engineer
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Full-time
- The primary mission of the Principal Machine Learning Engineer role is to build a scalable foundation for machine learning and data science across the organization.
- The Principal Machine Learning Engineer will architect, design, and lead the build and integration of the data science and AI platforms and solutions that will serve as the backbone for all machine learning applications at the company.
- Familiarity with microservices architecture, containerization (e.g., Docker), and orchestration frameworks (e.g., Kubernetes) is a plus.
- Expertise in programming languages like Python, Java, or Scala, and knowledge of ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of data engineering principles, data preprocessing techniques, data governance, and data integration.
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