Machine Learning Engineer – Smart Manufacturing (Full-Time)

We are a global leader in design, development & manufacture of industrial laser systems and solutions for the smartphone, electronics & semiconductor manufacturing and automotive industry.

Please visit the company's web site to learn about more: www.laservall.com

To cope with our continuous growth, we are now looking for a high caliber candidate to join our smart manufacturing innovation team:

Job Summary:

Machine Learning Engineer will spearhead the development and integration of machine learning (ML) features within Laservall’s product line. In this role, you will work on machine learning initiatives aimed at optimizing production workflows, minimizing defect rates, shortening new product development cycles, and building a long-term AI strategy. You will work cross-functionally with design, process engineering, and product development teams to embed intelligent systems into our manufacturing processes.

Key Responsibilities:

• Design and implement machine learning models for process optimization and predictive quality control
• Collect, analyze and model large-scale manufacturing data from sensors, machines, and production lines
• Build data-driven solutions that support faster product development and prototyping
• Collaborate with cross-functional teams to deploy ML models into production environments
• Develop and maintain internal documentation, best practices, and model versioning pipelines
• Contribute to the development of a 5-year roadmap for AI integration in smart manufacturing
• Monitor model performance and retrain as needed based on real-time factory data

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field
• 2+ years of hands-on experience with machine learning (open to junior-to-senior levels depending on experience and portfolio)
• Project experiences on one of these aspects: image object detection and classification, time series prediction, reinforcement learning.
• Nice to have LLM/CAE/AR experience.
• Proficiency in Python, SQL, and machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, openCV, Detectron2 etc.)
• Familiarity with electromechanical product manufacturing and process quality inspection is a plus.
• Strong understanding of data preprocessing, feature engineering, and statistical modeling
• Familiarity with linux shell, version control tools (e.g., Git), MLOps pipelines, and CI/CD practices
• Excellent communication skills and ability to work cross-functionally. Open to learning new technologies and willing to work in a diverse environment
• May require occasional same-day round trips to our Shenzhen office.

What We Offer

• A competitive remuneration package including 5-day week, medical, discretion bonus
• Opportunity to shape the future of AI-driven manufacturing
• Work with diverse teams in a fast-moving, innovative environment

For application, please apply with full resume, current and expected salary and availability for interview.

Proficiency in written/listening English and simple oral communication is the entry criterion, please use your English resume when applying for the position.

The initial telephone interview and subsequent interview arrangements will be made by our Korean HR colleagues who will call you in English. Soon after your application, if resume passes the screening, you will receive a call with the country prefix +82/0082which is most likely a call from our HR. Please pay attention to calls with such prefix and hope you answer in a timely manner.

Personal data collected will be treated as strictly confidential and only be used for recruitment purposes. Applicants who do not receive notification for interview within six weeks may consider their application unsuccessful.

We are also welcome candidate who are eligibility criteria for application of TTPS (TopTalent Pass Scheme), details please go through -https://www.immd.gov.hk/hks/services/visas/TTPS.html