Machine Learning Engineer
Tasks
- Analyze requirements and identify bottlenecks
- Build recommendation and classification models
- Design develop and test systems software
- Detect fraud and spam
- Develop ranking and optimization systems
- Develop scalable machine learning algorithms
- Implement scalable data processing systems
- Leverage distributed and parallel environments
- Research machine learning approaches
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Bigtable | C# | C++ | Calculus | Computer Vision | Data Analysis | Data Mining | Data Structures | Data Structures and Algorithms | Deep Neural Networks | Distributed Systems | Emacs | Git | HBase | Hadoop | Java | Kanban | Language Processing | Linear Algebra | Linux | MXNet | Machine Learning | MapReduce | Natural Language | Natural Language Processing | Neural Networks | PHP | Perforce | Perl | Pig | Probability theory | PyTorch | Python | Recommendation Systems | Relational databases | SQL | Scrum | Spark | Subversion | TensorFlow | Unix | Vim
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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