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Machine Learning jobs in Singapore

Cloud Engineer – AWS IoT

ScienTec Consulting

Singapore
On-site
SGD 80,000 - 100,000
19 days ago
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Application Engineer (PLC Solutions) - Entry level

Omron

Singapore
On-site
SGD 48,000 - 70,000
19 days ago

Electrical Engineer | Changi Base | Up to $4600 #5252

PERSOL

Singapore
On-site
SGD 80,000 - 100,000
19 days ago

Software Engineer [Semicon / C++/ Multithread] $6k+AWS+Bonus

StaffKing Pte Ltd

Singapore
On-site
SGD 80,000 - 100,000
20 days ago

Embedded Software Engineer [Semicon / C] $6k+AWS+Bonus

StaffKing Pte Ltd

Singapore
On-site
SGD 60,000 - 80,000
21 days ago
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ML/AI Data Labeling Engineer for Accurate Annotations

Manpower Staffing Services

Singapore
On-site
SGD 60,000 - 80,000
21 days ago

Data Scientist

Razer

Singapore
On-site
SGD 70,000 - 100,000
21 days ago

Senior Manager, IT Business Partner (Corporate Services)

SATS

Singapore
On-site
SGD 100,000 - 150,000
21 days ago
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Senior AI Consultant: Strategy, Delivery & Governance

NTT

Singapore
On-site
SGD 120,000 - 160,000
21 days ago

Principal Research Analyst, Oil Tanker Shipping

IHS GLOBAL PTE. LTD.

Singapore
On-site
SGD 80,000 - 120,000
21 days ago

Electrical Engineer: Reliability & Controls Systems

Singapore LNG Corporation Pte Ltd

Singapore
On-site
SGD 60,000 - 80,000
21 days ago

Engineer (Electrical)

Singapore LNG Corporation Pte Ltd

Singapore
On-site
SGD 60,000 - 80,000
21 days ago

Quantum Calibration Automation Software Engineer

Hunters International Sdn Bhd

Singapore
On-site
SGD 80,000 - 100,000
21 days ago

APAC Cloud Solution Architect - AI / Data

Huawei Technologies

Singapore
On-site
SGD 60,000 - 80,000
21 days ago

Service Engineer (Furnace/Annealing)

Forte Employment Services

Singapore
On-site
SGD 40,000 - 60,000
21 days ago

Industrial Furnace & Annealing Maintenance Engineer

Forte Employment Services

Singapore
On-site
SGD 40,000 - 60,000
21 days ago

T&T Senior Manager or Director - Artificial Intelligence & Data - MY

Deloitte PLT

Singapore
On-site
SGD 100,000 - 150,000
21 days ago

Healthcare Data Coder: Drive Insight & Impact

National University Polyclinics

Singapore
On-site
SGD 60,000 - 80,000
21 days ago

Data Coder, NUHS Education & Research Office (2 Years Contract)

National University Polyclinics

Singapore
On-site
SGD 60,000 - 80,000
21 days ago

Computer Vision Engineer (Machine Learning)

DCONSTRUCT ROBOTICS PTE. LTD.

Singapore
On-site
SGD 60,000 - 80,000
21 days ago

AI Engineer — Prototyping, Integration & Impact

CERTIS TECH-OPS AND SERVICES PTE. LTD.

Singapore
On-site
SGD 70,000 - 90,000
21 days ago

Machine Learning Suite (MLS) System Integrator

SYNECHRON TECHNOLOGIES SINGAPORE PTE. LTD.

Singapore
On-site
SGD 60,000 - 100,000
23 days ago

Channel Sales Manager - Singapore

CloudSEK

Singapore
On-site
SGD 80,000 - 100,000
23 days ago

Senior Finance Manager

MORROW

Singapore
On-site
SGD 80,000 - 100,000
23 days ago

Quant Researcher: ML Data Pipelines & Production

AlphaGrep

Singapore
On-site
SGD 70,000 - 90,000
23 days ago

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Learning And Development jobs
Cloud Engineer – AWS IoT
ScienTec Consulting
Singapore
On-site
SGD 80,000 - 100,000
Part time
20 days ago

Job summary

A leading consulting firm in Singapore is seeking a Cloud Engineer to design and manage IoT solutions on AWS. The role includes developing cloud infrastructure and ensuring the scalability and security of applications. Ideal candidates have strong programming skills in Python, Node.js, or Java, and experience with AWS services. This is a contract position with a competitive salary package.

Qualifications

  • Proven experience with AWS IoT services and cloud architecture.
  • Strong programming skills in Python, Node.js, or Java.
  • Experience with AWS services like Lambda, S3, DynamoDB, and more.

Responsibilities

  • Design, implement, and maintain AWS IoT solutions and device integrations.
  • Develop and deploy cloud infrastructure using AWS services.
  • Ensure security, scalability, and reliability of IoT applications.

Skills

AWS IoT services
Python
Node.js
Java
Cloud security best practices

Tools

AWS Lambda
AWS S3
AWS DynamoDB
Terraform
CloudFormation
Job description
Overview

We are seeking a Cloud Engineer with experience in AWS IoT to design, deploy, and manage IoT solutions on the cloud. You will work on scalable, secure IoT applications, integrating devices, data pipelines, and cloud services.

Job Details
  • Working Hours: Mon-Fri
  • Working Location: Central
  • Job Type: Contract
  • Salary Package: Up to $6500 (basic) + AWS
Key Responsibilities
  • Design, implement, and maintain AWS IoT solutions and device integrations
  • Develop and deploy cloud infrastructure using AWS services (IoT Core, Lambda, S3, DynamoDB, etc.)
  • Implement data ingestion, processing, and storage pipelines for IoT devices
  • Ensure security, scalability, and reliability of IoT applications
  • Troubleshoot and optimize performance of cloud and IoT systems
  • Collaborate with cross‑functional teams to deliver end‑to‑end IoT solutions
Requirements
  • Proven experience with AWS IoT services and cloud architecture
  • Strong programming skills in Python, Node.js, or Java
  • Experience with AWS services such as Lambda, S3, DynamoDB, SNS/SQS, and CloudFormation/Terraform
  • Familiarity with IoT protocols (MQTT, HTTP, WebSocket) and device connectivity
  • Knowledge of cloud security best practices and monitoring tools
Preferred
  • Experience with edge computing, analytics pipelines, or machine learning integration
  • Familiarity with CI/CD, DevOps, and serverless architectures
Additional Information

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy). All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

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* 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.

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