VP / AVP, Machine Learning Engineer (AI Industrialization), Group Consumer Banking and Big Data Analytics Technology, Technology & Operations VP / AVP, Machine Learning Engineer (AI  …

DBS Bank Limited
à Singapour, Singapore, Singapour
CDI, Plein-temps
Soyez parmi les premiers à postuler
Competitive
DBS Bank Limited
à Singapour, Singapore, Singapour
CDI, Plein-temps
Soyez parmi les premiers à postuler
Competitive
VP / AVP, Machine Learning Engineer (AI Industrialization), Group Consumer Banking and Big Data Analytics Technology, Technology & Operations
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 manage the majority of the 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 us 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
Requirements
  • Machine learning frameworks such as TensorFlow or Keras
  • Knowledge of Hadoop, Spark or any other distributed computing systems
  • Advanced math skills (linear algebra, Bayesian statistics, group theory)
  • Knowledge of Machine Learning Algorithms and Libraries
  • Working with version control system
  • Understanding of distributed eco system
  • Spark Core, Spark-SQL, Scala-Programming and Streaming datasets in Big Data platform
  • Programming experience in Python, R, Scala or Java
  • Excellent understanding of technology life cycles and the concepts and practices required to build big data solutions
Apply Now
We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.
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