Role
Your primary responsibility in this role is to research and prototype new ideas using machine learning and deep learning techniques to speed up the creation.
Responsibility
- Research and transform data science prototypes
- Research, test and implement appropriate ML algorithms and tools
- Develop machine learning applications according to requirements
- Train and retrain models
- Select appropriate datasets and data representation methods
- Run machine learning tests
- Perform statistical analysis and fine-tuning using test results
Requirements
- Academic background in AI/ML
- 3+ years of experience in ML / AI Development or related experience
- Solid expertise in using ML tools such as Caffe, pyTorch, TensorFlow, scikit-learn, nltk etc
- Strong knowledge of programming language such as Python preferably or C/C++, C#, Objective-C
- Solid understanding of data structures, data modeling, and software architecture
- Deep knowledge of mathematic, probability, statistics and algorithms
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
- Agility to build prototypes around new ideas quickly
- Propose creative approaches to solve complex problems