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!
- 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
- 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