lead machine learning engineer in Singapore

posted
contact
sara sun, randstad
job type
permanent

job details

posted
location
singapore
specialism
information technology
job type
permanent
working hours
Full-Time
reference number
91M0142907_1597725138
contact
sara sun, randstad
phone
+65 6510 1360
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job description

Our client is a leading player in its industry and ilisted on US Stock Market Exchange.
This is a new role due to global market expansion. The right person will also be having the opportunity to lead a team of 3 in 1-2 years time.

Job Description:

  • Analyze data from various sources, find patterns and provide solutions for problems in product
  • Write high-quality, clean, simple, and reusable code; build common libraries
  • Build high performance, high availability, scalability, and easy to maintain services
  • Communicate with other teams, posses a deep understanding of data from different sources and product architecture to help optimize the data process pipeline
  • Design and implement various supporting tools as required

Job Requirements:

  • PhD in Computer Science or related field
  • Passionate about coding and programming, innovation, and solving challenging problems
  • In-depth understanding of data structures and other computer science fundamentals
  • Hands-on experience with one of the programming languages including Go, Python, and C++
  • Hands-on experience with NLP, mining of structured, semi-structured, and unstructured data
  • Hands-on experience building recommendation systems
  • Intuitive understanding of machine learning algorithms, e.g. clustering, classification algorithms and data processing tools such as tensorflow, scikit
  • Hands-on experience in these areas will be advantageous:
  1. Distributed data platforms and processing frameworks such as Hadoop, Spark, Map-Reduce
  2. Linux development environments and Shell Scripting

To apply online please use the 'apply' function to attach your CV in the link

or you may directly send your CV to sara.sun(@)randstad.com.sg (Attn: Sara)


(EA: 94C3609/R1763325)

skills

no additional skills required

qualification

no additional qualifications required

educational requirements

Master's Degree