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Machine Learning Engineer at LeadIQ (Singapore)

Are you a bright & passionate Machine Learning wizard looking for an opportunity to advance your career?

If you are a team player who strives for engineering and technical excellence and enjoys in bringing innovation in a fast paced environment, we have a perfect job for you!

Responsibilities:

  • Discovering knowledge via unsupervised/semi-supervised algorithms
  • Develop the Recommendation System based on both structured & unstructured data
  • Develop Knowledge Graph as the AI basement of LeadIQ
  • Build, deploy, maintain and optimise the end to end machine learning application on large-scale datasets

Requirements:

  • Advanced degree in computer science, math, statistics or a related discipline
  • 3-6 years of relevant working experience. 
  • Extensive data modelling and data architecture skills
  • Programming experience in Python, R 
  • Background in machine learning frameworks such as TensorFlow or Keras
  • AI background on `NLP, Recommendation System, Statistics Models and Deep Learning`.
  • Engineering background on commonly used software like: `Git, Docker, MongoDB`, etc.
  • Hands on experience with development of end-to-end machine learning application from data pre-processing, model building & serving and performance evaluation
  • Experience working in an Agile environment
  • Advanced Math skills 
  • Strong written and verbal communications
  • Self-motivated, curious, team-player, problem solver, willing to learn
  • Experiences on search algorithms is a plus
  • Experiences on ElasticSearch is a plus
  • Experiences on NER (Named Entity Recognition), Knowledge Graph, Co-reference Resolution is a plus
  • Experiences on unsupervised/semi-supervised algorithms is a plus
  • Experiences on Cypher, Neo4j is a plus
  • Programming on Scala is a plus
  • Providing a GitHub link is preferable