AI & Machine Learning Manager

Job title: AI & Machine Learning Manager
Contract type: Permanent
Location: Singapore
Salary: $120,000 - $0
Reference: PR/081596
Contact details: Joseph Gul
Contact email:
Job published: November 23, 2021 10:23
AI & Machine Learning Manager
Singapore (North)

JAC are currently recruiting an experienced AI & Machine Learning Manager to work with a highly respected global manufacturing organisation.  
Our client are in the initial stages of their digital transformation strategy, with a specific emphasis on implementing ML/AI technologies. 
The successful candidate shall receive transparent career progression, a competitive salary, bonus & package; as well as the opportunity to work on various innovative products within this highly distinguished manufacturing global leader. 
The successful AI & Machine Learning Lead will be operating in a managerial role, reporting into the CTO.  
Role & Responsibilities:  
  • Recruiting, managing and developing a small specialist team of Data Scientists, Machine Learning Engineers & AI Engineers (circa 7 team members)
  • Enable data collection from IoT devices on legacy machines for Machine Learning and AI solutions
  • Development, deployment and application of applied analytics, predictive analytics, and prescriptive analytics utilising ML/AI.  
  • Deliver CI/CD pipelines & ML solutions via the cloud (MLOps)
  • Implementing AI technologies, such as; Image Processing & Speech Recognition
Experience & Qualifications:
  • Experience working as an experienced managerial Data Scientist or Data Science/AI/ML Manager. 
  • Proficient in analyzing data, hands on coding and automating data handling through SQL, C++, Python and R
  • Experience implementing ML models & AI technologies 
  • Expertise understanding of Signal Processing is a necessity 
  • Experienced working in the manufacturing/semiconductor domain is advantageous but not a necessity.  
  • A PhD, Masters or Bachelors in a quantitative field (e.g. Economics, Statistics, Sciences, Engineering, Computer Science) 
If this opportunity is of interest, then do not hesitate to contact Joe Gul on: 
+65 6411 0343 
Alternatively send a copy of your updated CV to: 
Please note due to a high volume of applications, only shortlisted candidates will be contacted. 
Joe Gul
EA License: 90C3026
EA Personnel: R1981662