Highly Skilled Data Architect

1 week ago

Singapore Grab Full time

**About Us**

Grab is a leading technology company that provides everyday services such as deliveries, mobility, financial services, enterprise services and others to millions of users across Southeast Asia. Our mission is to offer the best-in-class products and experiences to our driver partners as to increase adoption and engagement of our services.

At Grab, we are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.

**The Role**

We are looking for a highly skilled Data Architect to join our Fulfillment tech family team. As a Data Architect, you will have the opportunity to build large-scale simulation platforms and reinforcement algorithms to solve business problems inside Grab's marketplace and deploy them at scale.

The ideal candidate will have solid understanding of software development life-cycle and engineering practices, experience developing production ML systems, experience working on a range of regression/classification and optimization problems, experience applying reinforcement learning (or control theory), experience working with real-time streaming data.

**Responsibilities**

  • Architect and develop our simulation platform to simulate the response from the real marketplace that involves different types of services that Grab is providing.
  • Collaborate with product analysts, managers and business teams to define, prototype and build simulation SDKs to facilitate users to run simulations under different scenarios.
  • Architect and develop reinforcement learning frameworks to train and run reinforcement learning algorithms at scale, provide efficient optimization solutions to challenging business problems such as pricing, demand and supply management.
  • Collaborate with data science and economists teams to solve difficult causality and behavior modeling problems for building more efficient simulation and reinforcement learning algorithms.
  • Engage in service capacity and demand planning, software performance analysis, costing, tuning and optimization.
  • Participate in code and design reviews to maintain our high development standards.

**Requirements**

  • A degree in computer science, software engineering, information technology or related fields.
  • 5+ years of experience in one or more of the following areas: general machine learning, deep learning, reinforcement learning (control).
  • Solid understanding of engineering practices and design patterns, experience in writing readable, maintainable and testable code.
  • Familiarity working with VCS such as git, git-flow, understanding of full software development life-cycle.
  • Experience turning business problems into ML/AI-projects.
  • Experience with any ML framework, such as TensorFlow or PyTorch.
  • Proficiency in Python.
  • Experience in any of Scala/Java/Golang/C++.
  • Experience with any big data framework, such as Spark, Ray familiar with the concept of processing events in real-time.

**Salary:** $150,000 - $200,000 per year

**Benefits:** We offer competitive salaries, comprehensive benefits package, and opportunities for growth and professional development. We believe in building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best.

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