
Data Engineering Leader
3 days ago
We are seeking a seasoned professional to take charge of designing and implementing data pipelines and engineering infrastructure to support enterprise machine learning systems at scale.
- Transform offline models into production-ready systems by collaborating with data scientists.
- Develop scalable tools and services for handling machine learning training and inference.
- Evaluate new technologies to enhance the performance, maintainability, and reliability of machine learning systems.
- Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
- Support model development emphasizing auditability, versioning, and data security.
Requirements:
- University degree in Computer Science or related field.
- 5+ years of experience in Machine Learning Operations role.
- Strong analytical skills related to working with structured, semi-structured, and unstructured datasets.
- Advanced knowledge of machine learning techniques: Decision Trees, Random Forest, Boosting Algorithm, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction.
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