Machine Learning Engineer

A multinational company that manufactures world leading hardware and utilizes cutting-edge for the field AI.

Your new company
A leading multinational company that manufactures world leading hardware and utilizes cutting-edge for the field of super computers, big data analytics, deep learning, and AI.

Your new role
  • Collaborate with the Data Science team to create production models from transformation of data science prototypes with best practices of model development, maintenance, and management.
  • Implement continuous learning into system and keep models updated
  • Research and apply Machine Learning algorithms and tools with appropriate datasets, benchmark models, execute and improve statistical analysis.
  • Work together with software engineers and researchers to ship software solution products and expand business.

What you'll need to succeed
  • Bachelor’s Degree in computer science or related field with at least 3 years of relevant experience.
  • Understanding of data modelling, data structures, and software architecture
  • Strong programming in Python or C++
  • Knowledge of math, statistics, probability, and algorithms
  • Independent with analytical problem-solving skills
  • Experience with ML frameworks and libraries

What you'll get in return
  • Competitive remuneration
  • Opportunity for growth in international projects
  • Leading multinational company in AI

What you need to do now
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. If this job isn't quite right for you but you are looking for a new position within Technology, please contact Lijie Ong at +65 81006059 or email for a confidential discussion on your career. Hays Registration Number: R22108533, EA License: 07C3924, Company Registration Number: 200609504D. #1233320


Job Type
Technology & Internet Services
Data & Advanced Analytics

Talk to a consultant

Talk to LiJie Ong, the specialist consultant managing this position, located in Singapore
#27-20 UOB Plaza 2, 80 Raffles Place

Telephone: +6563030151

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