
Data Pipeline Engineer
1 day ago
Key Responsibilities:
- Design and engineer data pipelines to support large-scale enterprise machine learning systems.
- Transform offline models into production-ready, scalable machine learning systems.
- Develop and deploy tools for machine learning training and inference.
- Identify new technologies to improve system performance, maintainability, and reliability.
- Apply software engineering rigor and best practices to machine learning, including continuous integration and automation.
- Support model development with emphasis on auditability, versioning, and data security.
- Facilitate the development and deployment of proof-of-concept machine learning systems.
- Collaborate with clients to build project requirements and track progress.
Requirements:
- University Degree in Computer Science, Information Technology, or related field.
- 5+ years of experience in Machine Learning Operations.
- Strong analytical skills for working with structured, semi-structured, and unstructured datasets.
- Advanced knowledge of machine learning techniques: decision trees, random forests, boosting algorithms, neural networks, deep learning, support vector machines, clustering, Bayesian networks, reinforcement learning, feature reduction.
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