The Job
You will:
• Implement the best practice of data and machine learning engineering into the division
• Work with data scientists to define project objectives and scopes with data and machine learning mindsets
• Write codes in different languages to run queries and support data analysis work
• Assist with the implementation of data pipelines within the Division with regard to suitable hardware and infrastructure;
• Ensure that the Team delivers solutions to Data and Analytics (and more widely if relevant) efficiently and with increased automation
• Oversee and manage the workflow of data quality management, data cleansing and data exchanges processes
• Generate reports of deployed models and analyze any data irregularities
• Monitor deployed models in production and report any abnormality.in data or models
• Work with data scientists to build data pipelines, model training pipelines to ensure reproducibility & robustness
• Work with IT for transforming machine learning models into APIs that can be integrated with other applications
• Assist in the development of a centralized data warehouse for different data usages
• Assist in the development of data ingestion and data transformation architecture
• Ensure the data within the Division is accurate, consistent and on-time
• Research, build, and design self-running software to automate machine learning operations.
• Research, build, and design cloud infrastructure and solutions to meet the demands in data and machine learning engineer
• Assist in the deployment of data science solutions in the Division
• Promote appropriate tools and processes in the areas of cloud computing, big data and machine learning.
• Design machine learning systems to help develop high-performance machine learning models.
• Design and implement rules and procedures for data management within the Division
• Drive the standard patterns for data engineering and data management within the Division.
• Ensure machine learning systems is compliant with IT security rules
• Identify and train team member’s skills in data and machine learning engineer
• Ensures compliance with Responsible Gambling Policy (RGP) and all stipulated legal requirements pertaining to wagering, thereby protecting the integrity of the Club’s business
• Undertakes other duties as assigned by Line Manager
About You
You should have:
• Master degree in quantitative discipline such as Data Science, Statistics, AI, Computer Science, Engineering or a related discipline.
• Strong computational background, with significant production-level programming and scripting experience.
• Solid experience on Data Management or Data Engineering.
• Solid experience in relational databases (SQL Server), as well as working familiarity with a variety of databases
• Solid experience in object-oriented programming (C#, Java, C++), as well as other scripting languages (Python, Matlab,R, VBA)
• Knowledge of container techniques and concepts (e.g. Docker, Kubernetes)
• Knowledge of Big Data and associated techniques and methodologies to underpin applications of Machine Learning and AI. Experience of Cloud technologies a plus
