Job Description

Business Function

Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we managethe majority ofthe Bank\'s operational processes and inspire to delight our business partners through our multiple banking delivery channels.

Responsibilities

• Build and improve machine learning and analytics platform.
• Apply cutting edge technologies and tool chain in big data and machine learning to build machine learning and analytics platform.
• Keep innovating and optimizing the machine learning workflow, from data exploration, model experimentation/prototyping to production.
• Provide engineering solution and framework to support machine learning and data-driven business activities at large scale.
• Perform R&D on new technologies and solutions to improve accessibility, scalability, efficiency and abilities of machine learning and analytics platform.
• Work with data scientists to build end-to-end machine learning and analytics solution to solve business challenges.
• Turn advanced machine learning models created by data scientists into end-to-end production grade system.
• Build analytics platform components to support data collection, exploratory, and integration from various sources being data API, RDBMS, or big data platform.
• Optimize efficiency of machine learning algorithm by applying state-of-the-art technologies, i.e. distributed computing, concurrent programming, or GPU parallel computing.
• Establish, apply and maintain best practices and principles of machine learning engineering.
• Study and evaluate the state of the art technologies, tools, and frameworks of machine learning engineering.
• Contribute in creation of blueprint and reference architecture for various machine learning use cases.
• Support the organization in transformation towards a data driven business culture.

• Internal - Work closely with data scientists, business team, and project managers to provide machine learning and data-driven business solution.
• Collaborate with other technology teams to build platform and framework to enable machine learning and data analytics activities at large scale
• External - Maintain engineering principles and best practices of machine learning framework and technologies.

• PhD/Masters/Bachelors in Computer Science, Computer Engineering, Statistics, Applied Mathematics, or related disciplines.
• 10+ years of experience in software engineering or DevOps automation or data engineering
• Excellent understanding of software engineering principles and design patterns.
• Excellent programming skills in either Python or Java.
• Hands-on experience in containerization/ virtualization platforms, e.g. Docker/Kubernetes.
• Exposure to data science and machine learning technologies and methodologies.
• Good working knowledge of high performance computing, parallel data processing, and big data stack, e.g. Spark and Hadoop/Yarn.
• Experience to one or more commercial / open source data warehouses or data analytics systems, e.g. Teradata, is a big plus.
• Experience to one or more NoSQL databases is a big plus.
• Experience or Cloudera Data Science Workbench, is a big plus.
• Passion about machine learning and data-driven intelligence system.
• Excellent communication and presentation skills.
• Team player, self-starter, ability to work on multiple projects in parallel is necessary.
• Experience working in multi-cultural environments

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