Reference
260002A7
Responsibilities
- Develop, process, cleanse and enhance data collection procedures from multiple data sources.
- Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.
- Test, troubleshoot and enhance the developed models in a distributed environment to improve its accuracy.
- Work closely with product teams to implement algorithms with Python and/or R.
- Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.
- Facilitate integration with enterprise applications using APIs to enrich implementations.
Qualifications
- Experience in developing and deploying machine learning, deep learning, NLP solutions.
- Experience with common data science toolkits, such as Scikit, NumPy, R libraries – Excellence in at least one of these is mandatory.
- Proficiency with any one NoSQL database such as MongoDB, Cassandra, HBase.
- Prior experience in developing APIs, services using either C# or Java.
- Good awareness of entire machine learning/predictive modeling & implementation.
We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.