Developer jobs in Singapore
MLOps Engineer: AI Deployment & Platform Automation
SYNAPXE PTE. LTD.
Assoc Data Engineer
SYNAPXE PTE. LTD.
Cloud Engineer (AWS)
IBM Computing
VP, Platform Engineer (Enterprise Service Management), Technology Group
GIC Private Limited
Project Manager (Chemical/Petrochemical)
SEARCHASIA CONSULTING PTE. LTD.
Discover more opportunities than anywhere else. Find more jobs nowSenior SAP S/4HANA ABAP & Fiori Consultant
ABeam Consulting (Singapore)
Senior SAP ABAP/Tech Lead – S/4HANA & Cloud
ABEAM CONSULTING (SINGAPORE) PTE. LTD.
Engineering Lead, Scale Platform
AIRWALLEX (SINGAPORE) PTE. LTD.
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APAR TECHNOLOGIES PTE. LTD.
Forntend Developer (React.js)
APAR TECHNOLOGIES PTE. LTD.
Go Backend Team Lead - Scalable Microservices
CAVATER SDN BHD
Software Engineer Team Lead(Golang)
CAVATER SDN BHD
Sales Development Associate / BDR (Marketing) | Outbound Sales, Lead Generation, Cold Calling >[...]
THE HACENS TALENT PTE. LTD.
Dietitian
Yishun Community Hospital
Project Manager - English & Mandarin Speaking
Alpaca
Lead SDLC Platform Engineer — Cloud & DevOps
GOLDMAN SACHS SERVICES (SINGAPORE) PTE. LTD.
Senior Full-Stack Developer — React & Node
ARYAN SOLUTIONS PTE. LTD.
Fullstack Developer (React & Node)
ARYAN SOLUTIONS PTE. LTD.
Application Developer, Golang (Bank l Contract)
MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD
Backend Developer (Fintech)
EVOLUTION RECRUITMENT SOLUTIONS PTE. LTD.
Engineering Lead, Org and Identity
AIRWALLEX (SINGAPORE) PTE. LTD.
Senior Contract & Project Finance Manager
Singapore University of Social Sciences
Senior Manager (Contract Management), Campus Planning and Development
Singapore University of Social Sciences
MLOps Engineer: AI Deployment & Platform Automation
Job summary
A technology company in Singapore is looking for a MLOps Functional Analyst who will also act as a Developer for MLOps projects. The candidate will be responsible for managing the deployment of AI models, collaborating with Data Scientists, and automating processes using DevOps tools. Ideal candidates should possess a degree in related fields, practical experience in making AI/ML models production ready, and solid skills in programming languages such as Python and SQL.
Qualifications
- Practical experience in software engineering or AI/ML model production.
- Strong analytical skills demonstrated through education or experience.
- 3-5 years' experience in IT systems development and maintenance.
Responsibilities
- Review technical solutions for AI model deployment and data visualization.
- Automate model deployment using DevOps tools.
- Collaborate with Data Scientists on data models for deployment.
Skills
Education
Tools
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.