Manufacturing AI & Automation Engineer

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