Artificial Intelligence Engineer

Ref: AIEN2121

Nasr City, Cairo,?Egypt?

  • About The Job
  • Job Requirements
  • –Collaborate with, developers, security traders, and other members of the research team to develop new and improve existing algorithms that optimize capital markets performance.
  • –Utilize combination of statistical analysis, data mining and deep learning techniques to improve system development and research effectiveness
  • –Apply leading-edge machine learning techniques to large financial data sets and optimize quantitative research performance
  • –Data Exploratory Analysis.
  • –Lead the development of new Predictive models working with internal stakeholders from gathering requirements to delivery.
  • –Perform data mining by applying machine learning and supervised learning algorithms.
  • –Support advanced analytical and data mining efforts which could include but not limited to clustering, segmentation, logistic and multivariate regression, decision/CART trees, neural networks, time-series analysis, sentiment analysis, topic modeling, and Bayesian analysis
  • –Visualize, interpret, report, and communicate data findings creatively in various formats and audiences using Tableau, ggplot. • Integrate with cloud-based web technologies via web services API.
  • –Think creatively and work well both as part of a team and as an individual contributor.
  • –Responsible for defining the structures of solutions and architectures to address client business problems.
  • –The data scientist understands client needs and business constraints.
  • –Works in levels of abstraction and applies industry knowledge and leverages appropriate business elements, machine learning and information technology to address those needs.
  • –Bachelor Degree in Machine Learning, Statistics, Applied Mathematics, Computer Science, Information Systems, or related quantitative disciplines, with a minimum of five years of relevant experience (Bachelor’s required, Master’s or Ph.D.’s preferred)
  • –Expert in analytical tools like R, SAS, SQL.
  • –Have hands-on experience developing predictive models using analytical methods such as regression, decision trees, support vector machines, Random Forests, Neural Networks.
  • –Have hands-on experience using relational database management systems (Oracle, Teradata, SQL Server, DB2 etc.)
  • –Hands on experience in Java, Hadoop, HIVE, Scala, Apache Spark, and MLLib – to include developing Machine Learning Algorithms in Spark MLLib and building real-time models preferably in Spark MLLib.
  • –Expertise in visualization tools like Tableau, ggplot is a plus.
  • –Expertise in Python, Linux is a plus.
  • –Exceptional ability to communicate and present findings clearly to both technical and non-technical audiences
  • –Excellent interpersonal and collaboration skills
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