
Machine Learning Systems Engineer
21 hours ago
Job Title: Machine Learning Systems Engineer
This is an exciting opportunity to join our team as a Machine Learning Systems Engineer. As a key member of our organization, you will be responsible for designing and developing scalable machine learning systems that meet the needs of our clients.
Key Responsibilities:
- Design and develop data pipelines and engineering infrastructure to support enterprise machine learning systems at scale.
- Take offline models built by data scientists and turn them into real machine learning production systems.
- Develop and deploy scalable tools and services for clients to handle machine learning training and inference.
- Evaluate new technologies to improve performance, maintainability, and reliability of client machine learning systems.
- Apply software engineering rigor and best practices to machine learning, including CI/CD and automation.
- Support model development with an emphasis on auditability, versioning, and data security.
- Facilitate the development and deployment of proof-of-concept machine learning systems.
- Communicate with clients to build requirements and track progress.
- Strong analytic skills related to working with structured, semi-structured, and unstructured datasets.
- Advanced 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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