Responsibilities
include (not limited to) :
- Working with internal teams and clients to develop machine learning applications
- Run machine learning tests and experiments
- Extend existing ML libraries and frameworks when necessary
- Study and transform data science prototypes
- Develop processes and tools to monitor and analyze model performance and data accuracy
- Develop an A / B testing framework and test model quality
Preference will be given to candidates with the following :
A drive to learn and master new technologies and techniquesFamiliar with development and deployment on Cloud environment (AWSCLI, Boto3, Docker and etc)Experience with distributed data / computing tools : Map / Reduce, Hadoop, Hive, Spark and etcExperience with CUDF and other CUDA-based librariesWe love to share $1,000 success bonuses for referrals.