
Machine Learning Developer
8 hours ago
We are seeking a skilled MLOps Engineer to fill a key role in our organization.
Key Responsibilities:
- Design and develop data pipelines and engineering infrastructure to support enterprise machine learning systems at scale.
- Turn offline models built by data scientists into real machine learning production systems.
- Develop and deploy scalable tools and services for handling machine learning training and inference.
- Evaluate new technologies to improve performance, maintainability, and reliability of 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.
Requirements:
- University Degree in Computer Science, Information Technology, or related field.
- 5+ years of experience in Machine Learning Operations role.
- 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.
Benefits:
- Opportunity to work with cutting-edge technologies.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
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