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Open nowPosted 16 days ago

Manufacturing AI & Automation Engineer

MyCareersFuture94,028 open roles

Pay
SGD 4,000 – SGD 6,000 a month
Where
Singapore
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Your applicationOpen nowManufacturing AI & Automation EngineerMyCareersFuture · Singapore

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The clock on this job

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7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 16 days ago

The posting

Job Overview

We are seeking an AI & Automation Engineer to develop data-driven solutions, machine learning models, and advanced process control strategies to optimize manufacturing performance and drive operational excellence.

The ideal candidate should possess strong programming capabilities, analytical thinking, and a good understanding of manufacturing or process engineering environments.

Key Responsibilities

Process Optimization & Automation

  • Identify opportunities to improve manufacturing performance, yield, productivity, and cost efficiency through data-driven solutions.
  • Develop and implement advanced process control strategies to enhance process stability and equipment performance.
  • Support the integration of manufacturing data collection and process control workflows.

AI, Data Analytics & Machine Learning

  • Design, develop, and deploy AI and machine learning models to support manufacturing improvement initiatives.
  • Analyze large volumes of operational and manufacturing data to generate actionable insights.
  • Develop predictive models and automation solutions to improve operational decision-making.

Software & Workflow Development

  • Build and maintain workflow automation solutions using Python and database technologies.
  • Develop and enhance operational dashboards and reporting tools to improve visibility across manufacturing operations.
  • Support the design of scalable software solutions for manufacturing applications.

System Integration & Continuous Improvement

  • Work closely with engineering, manufacturing, IT, and cross-functional teams to implement and support digital transformation initiatives.
  • Participate in system integration, process enhancement, and automation projects.
  • Ensure proper documentation, reporting, and maintenance of implemented solutions.

DevOps & Application Support

  • Support software deployment, version control, and application lifecycle management activities.
  • Contribute to continuous improvement of development and deployment processes.
  • Assist in maintaining production-critical applications and automation systems.

Requirements

  • Degree in Engineering, Computer Science, Data Science, Information Technology, or a related discipline.
  • Strong programming experience in Python.
  • Hands-on experience with SQL and database technologies.
  • Good understanding of manufacturing operations, process engineering, automation, or process control concepts.
  • Exposure to AI, machine learning, data analytics, or predictive modelling is highly advantageous.
  • Familiarity with DevOps practices, CI/CD pipelines, Git, and software deployment methodologies is an advantage.
  • Strong analytical and problem-solving skills with the ability to interpret complex operational data.
  • Good communication and stakeholder management skills.
  • Able to work independently while collaborating effectively within cross-functional teams.

Please send your detailed resume in MS Word format to [email protected] with

  • Education Level
  • Working experiences
  • Each employment background
  • Reason for leaving each employment
  • Last drawn salary
  • Expected salary
  • Date of availability
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