AI Engineer

Academic Qualifications and Certifications:

• Degree in Data Science, Business Analytics, Mathematics, Economics, Statistics, Engineering, Computer Science, Computer Engineering or another quantitative field (preferably a bachelor’s degree or equivalent)
• Relevant programming qualifications and/or certifications
• Relevant Agile certification is preferable
  

Required Experience:

• Demonstrable experience with one or more programming languages (e.g. Python), statistical packages (e.g. R), and database languages (e.g. SQL)
• Demonstrable experience with data warehouse and data lake technical architectures, infrastructure components, ETL/ ELT, and reporting/analytic tools
• Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. (excellence in at least one of these is highly desirable)
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc
• Demonstrable experience in data modeling
• Demonstrable experience applying statistical methods and machine learning techniques to solve business problems
• Experience with distributed data/computing tools such as Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.
• Experience in working in micro-services architecture working with APIs development
• Demonstrable experience of full-stack software development with prolific coding abilities
• Demonstrable experience in Elastic search, Scoring, and recommendation on very large volumes of data
• Experience with Agile Development Methodologies and Test-Driven Development