DESIRED SKILLS:

• A university degree in Mathematics, Computer Science, Engineering, Physics or similar.
• 6+ years of relevant experience in several areas of Data Mining, Classical Machine Learning, Deep Learning, NLP and computer vision.
• Experience with Large Scale/ Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb.
• Hands-on capability developing ML models using open-source frameworks in Python and R and applying them on real client use cases.
• Proficient in one of the deep learning stacks such as PyTorch or Tensorflow.
• Working knowledge of parallelisation and async paradigms in Python, Spark, Dask, Apache Ray.
• An awareness and interest in economic, financial and general business concepts and terminology.
• Excellent written and verbal command of English.
• Strong problem-solving, analytical and quantitative skills.
• A professional attitude and service orientation with the ability to work with our international teams.
• Experience in leading a team is an advantage.

• Contributing by processing, analyzing, and synthesizing information applied to a live client problem at scale.
• Developing machine learning models to extract insights from both structured and unstructured data in areas such as NLP and Computer Vision.
• The role requires skills in both prototyping and developing individual solutions but also implementation and integration in a production environment.