
Building Scalable Machine Learning Systems
2 days ago
We are seeking a highly skilled Machine Learning Operations Engineer to join our team. The ideal candidate will have a strong background in machine learning and experience in designing and implementing data pipelines and engineering infrastructure.
Key Responsibilities:
- Design and implement data pipelines and engineering infrastructure to support enterprise machine learning systems at scale.
- Develop and deploy scalable tools and services for machine learning training and inference.
- Identify and evaluate new technologies to improve performance, maintainability, and reliability of machine learning systems.
- Apply software engineering rigor and best practices to machine learning.
- Support model development, with an emphasis on auditability, versioning, and data security.
- Communicate with clients to build requirements and track progress.
Requirements:
- University degree in Computer Science, Information Technology, or related field.
- 5+ years of experience in the Machine Learning Operations role.
- Strong analytic skills related to working with structured, semi-structured, and unstructured datasets.
- Advanced machine learning techniques: decision trees, random forests, boosting algorithms, neural networks, deep learning, support vector machines, clustering, Bayesian networks, reinforcement learning, feature reduction.
Benefits:
- Opportunity to work with cutting-edge technology and innovative projects.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
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