About us :
GFT is a business change and IT company trusted by the world's leading financial institutions to meet the demands of the digital revolution.
Innovation and creativity are part of our DNA and drive our own success story.
Your main responsibilities :
Extraction y selection of different features, building and optimizing classifiers using machine learning techniques
Extending datasets with third party sources of information when needed
Enhancing data collection procedures
Processing, cleansing and verifying data integrity used for the analysis processes
Creating automated ml-systems and constant tracking of its performance
Skills will help you succeed :
University degree or its equivalent.
Understanding machine learning techniques and algorithms like SVM, KNN, Naives Bayes, Neural Networks
Experience with frameworks like MatplotLib, Scikit, TensorFlow, Keras (Python Stack)
Experience with data visualisation tools like D3.js, GGplot, MatplotLib
Proficiency in using query languages such as SQL, Hive, Pig, Impala
Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Neo4J
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Good experience with Python and Java (Python 3+, Java 1.5+)
Intermediate / high level of English, written and spoken.
Soft Skills :
Team worker; ability to work with teams distributed geographically in different locations
Proactive, motivated and willing to consolidate and develop a professional career
Analytical, logical and critical thinking. Solid problem-solving skills : ability to identify problems and suggest mitigating and contingency actions
Expert ability to work independently and manage one's time
Ability to deal with ambiguous situations
Committed and positive.
Our offer :
Restaurant tickets and life insurance for every employee
Flexible compensation plan, according to your needs
Customized plan for professional development and training program
Subsidized English / German / Spanish courses
Flexible working hours and short Fridays
Program to improve and promote a healthy lifestyle at work : a sports program and fresh fruit in the offices
International work culture
The possibility of Working from Home
Collaboration agreement with Gym for Less
Join our global team!
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