MACHINE LEARNING ENGINEER
Our client is one of the world’s largest, licensed, online gaming companies and they are looking for a Machine Learning Engineer who will be responsible for developing algorithms that will form the basis of mathematical models that will be used to understand and automate the trading process of sports betting markets.
The candidate must have a strong background in Machine Learning, Statistics, and Algorithm Development.
Requirements
- Degree or Diploma in Computer Science, Software Engineering, Computational Statistics or equivalent degree or experience. An MS or PhD in Computer Science, specialising in Machine Learning desirable.
- 3+ years of relevant experience with statistical computing in R or Python.
- 3+ years of experience with Machine Learning algorithms and Probabilistic Modelling.
- Strong background in statistics, preferably Bayesian Statistics.
- Experience with SQL and SQL Server.
- Experience with modern R packages and technologies such as dplyr, tidyR, data.table, shinyR preferred.
- Experience with .NET Framework and C# is preferable.
- Experience with Bayesian Inference using Statistical Languages for MCMC such as Stan, JAGS, WinBugs is a big plus.
- Experience using cloud computing platforms such as EC2 (AWS)Domain experience in on-line gaming and entertainment industry, Financial Markets (such as Stock Exchange, Options, Bonds, ForEx, etc), or other types of 2-sided markets is a plus.
- Experience with Neural Networks or Deep Learning on large problems is a plus.
- Experience with Hadoop, Map Reduce or High-Performance Computing is a plus.
- Strong analytical, conceptual, and problem-solving abilities with attention to detail.
- Ability to multi-task and manage multiple assignments in a fast-paced environment.
- Strong written and oral communication skills.
- Initiative to work independently, but also able to work effectively with team members in different locations.
- Flexibility and adaptability to business requirements and priority changes.
On offer
- An environment passionate about growth and learning
- Competitive salary with bonus
- Fitness subsidy program