Machine Learning Engineer
Core Business Services
Requisition # ARG00316
Post Date May 07, 2020
EY’s GDS Tax Technology team’s mission is to develop, implement and integrate technology solutions that better serve our clients and engagement teams. As a member of EY’s core Tax practice, you’ll develop a deep tax technical knowledge and outstanding database, data analytics and programming skills.
Ever-increasing regulations require tax departments to gather, organize and analyse more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments throughout an organization. Effectively and efficiently handling the variety and volume of data is often extremely challenging and time consuming for a company.
EY’s GDS Tax Technology team members work side-by-side with the firm’s partners, clients and tax technical subject matter experts to develop and incorporate technology solutions that enhance value-add, improve efficiencies and enable our clients with disruptive and market leading tools supporting Tax.
GDS Tax Technology works closely with clients and professionals in the following areas: Federal Business Tax Services, Partnership Compliance, Corporate Compliance, Indirect Tax Services, Human Capital, and Internal Tax Services. GDS Tax Technology provides solution architecture, application development, testing and maintenance support to the global TAX service line both on a pro-active basis and in response to specific requests.
EY is currently seeking a **Machine Learning Engineer** to join our Tax Technology practice in Buenos Aires, Argentina.
+ Experience building web services and Internet applications (clientor server side)
+ UI Toolkits and Frameworks
+ Ability to effectively design software architecture
+ Understanding of NLP techniques for text representation, semanticextraction techniques, data structures and modeling
+ Experience with ML pipelines in NLP
+ Understanding of statistics and classification algorithms
+ Python Data-Science (e.g. Pandas, Numpy, Scikit-learn, Keras, NLTK,Gensim, Tensorflow etc.)
+ Python Back-End (Flask)
+ Server Management (Docker)
+ SQL Database
Shift : Monday to Friday 9-6PM
**EY, an equal employment opportunity employer, values the diversity of our workforce and the knowledge of our people.**