Carro Singapore – Machine Learning Engineer #SGUnitedJobs

Company
Carro Singapore
carro.co
Designation
Machine Learning Engineer #SGUnitedJobs
Date Listed
18 Dec 2020
Job Type
Entry Level / Junior Executive, Experienced / Senior Executive
Full/Perm
Job Period
Flexible Start - Flexible End
Profession
Engineering, IT / Information Technology
Industry
Human Resources
Location Name
Sin Ming Lane, Midview City, Singapore
Address
18 Sin Ming Ln, Singapore 573960
Map
Allowance / Remuneration
$5,000 - 8,000 monthly
Company Profile

Carro is on a mission to redefine what car ownership is, and transform the way that people and businesses across Asia interact with one another to get the cars they need. Our digital platforms are game-changers in the automotive trading industry, seamlessly integrating the buying and selling user journeys for speed, efficiency, and transparency. 


Since 2016, Carro has continually disrupted the existing business models and practices within the automotive trading industry, launching numerous market-first services, and grown to more than 800 people across 4 countries in Southeast Asia. Our platform serves nearly every need that car owners have, and does it in a more tech-enabled, efficient, and delightful way. Today, Carro transacts more than $1Bn in cars annually, and has won numerous industry awards for innovation and marketing excellence.


We want people who are difference-makers; people who will CHARGE together with us, and work tirelessly to deliver delightful experiences for customers. Our CARROleagues all embody these core values:


  • Collaborative at work, build trust and respect with those you work with and serve

  • Honest in our approach, interactions, and decisions

  • Audacious in learning, adapting, and rising up to any challenge

  • Resourceful and self-sufficient, always doing more with less

  • Go-getter mentality who doesn’t procrastinate, and makes smart and decisive decisions

  • Effective problem-solvers, producing results instead of being ‘busy’


Find out more about our journey, and the successes across business lines and countries, in the last 5 years here. https://carro.sg/blog/carro-5-year-journey/

Job Description

Job Summary:

We’re looking for a machine learning engineer who enjoys building machine-learning based product pipelines, sifting through big datasets to look for gems, and also working on recommendation engines.

What you will be doing:

  • Work closely with a data scientist, engineers, and other stakeholders to provide analytical insights into the business challenges/opportunities
  • Build data pipelines using big data tools
  • Build robust data collection procedures and highly scalable APIs
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Design, build and handle the deployment of ML models and acute awareness of optimized server configurations
  • Build innovative approaches to automated repurposing and redeployment of the ML models
  • Design and build recommendation engines to improve the user experience of our products

What are we looking for:

  • Bachelor, Master or Ph.D. in Computer Science, Statistics, Industrial Engineering, Mathematics, Economics or quantitative discipline
  • At least 3 years of hands-on industry experience in building and deploying end to end machine learning platforms
  • Experience in a large operation production system: high data volume, high throughput, and low latency
  • Strong working knowledge of engineering and coding skills (Python, R..etc)
  • Good understanding of various models, feature engineering, feature selection
  • Good understanding of various cloud-based solutions, other high/low-level languages (PHP, Ruby..etc) is advantageous
  • Demonstrable track record of hands-on experience in distributed data platforms and processing frameworks
  • Good communication skills to communicate with technical and non-technical stakeholders
  • Demonstrated ability to operate as a high-performing member of a small cross-functional team
This position is already closed and no longer available.  You may like to view the other latest internships here.

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