• Lead Machine Learning Engineer , Group Consumer Banking and Big Data Analytics Technology , Technology & Operations Jobs in Singapore - 23853517

  • DBS Bank Ltd
  • Singapore

Job Description:

Lead Machine Learning Engineer, Group Consumer Banking and Big Data Analytics Technology, Technology & Operations - ( WD04184 )

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 Banks operational processes and inspire to delight our business partners through our multiple banking delivery channels

Job Purpose

Build and improve machine learning and analytics platform Work with data scientists to create, optimize and productionize of machine learning models for various business units within the organization Keep innovating and optimizing data and machine learning workflow to enable data-driven business activities at large scale

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, ie 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

Work Relationships

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

Requirements

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

Primary Location Singapore

Job Technology

Schedule Regular

Employee Status

Full-time

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Financial Services/Stockbroking
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 19th Apr 2020

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