- Study and transform data science prototypes
- Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
- Research and implement appropriate ML, Deep algorithms and tools
- Develop deep models application according to requirements
- Verifying data quality, and/or ensuring it via data cleaning
- Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
- Extend existing ML libraries and frameworks
Requirements
Proven experience as Deep learning engineer or similar role
Understanding of data structures, data modeling and software architecture
Excellent communication skills
Outstanding analytical and problem-solving skills
Deep knowledge of match, probability, statistics and algorithms