<p>To cope with our continuous growth, we are now looking for a high caliber candidate to join our smart manufacturing innovation team:<br><br>Position: Machine Learning Engineer – Smart Manufacturing (Full-Time)<br>Location: Hong Kong Science and Technology Park, Shatin, Hong Kong<br>Department: AI/ML R&D Team<br><br>Proficiency in written/listening English and simple oral communication is the entry criterion, please use your English resume when applying for the position.<br><br>This is the eligibility criteria and application portal of the Hong Kong Immigration Department: <br>https://www.immd.gov.hk/hks/services/visas/TTPS.html <br>This is the list of undergraduate colleges of Hong Kong B/C talents: https://www.immd.gov.hk/pdf/aggregate_list.pdf <br><br>Job Summary:<br>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.<br>Key Responsibilities:<br>Design and implement machine learning models for process optimization and predictive quality control <br>Collect, analyze and model large-scale manufacturing data from sensors, machines, and production lines <br>Build data-driven solutions that support faster product development and prototyping <br>Collaborate with cross-functional teams to deploy ML models into production environments<br>Develop and maintain internal documentation, best practices, and model versioning pipelines <br>Contribute to the development of a 5-year roadmap for AI integration in smart manufacturing <br>Monitor model performance and retrain as needed based on real-time factory data<br><br>Qualifications:<br>Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field <br>2+ years of hands-on experience with machine learning (open to junior-to-senior levels depending on experience and portfolio)<br>Project experiences on one of these aspects: image object detection and classification, time series prediction, reinforcement learning. <br>Nice to have LLM/CAE/AR experience.<br>Proficiency in Python, SQL, and machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, openCV, Detectron2 etc.) <br>Familiarity with electromechanical product manufacturing and process quality inspection is a plus. <br>Strong understanding of data preprocessing, feature engineering, and statistical modeling <br>Familiarity with linux shell, version control tools (e.g., Git), MLOps pipelines, and CI/CD practices <br>Excellent communication skills and ability to work cross-functionally. Open to learning new technologies and willing to work in a diverse environment<br>May require occasional same-day round trips to our Shenzhen office.<br><br>What We Offer<br>A competitive remuneration package including 5-day week, medical, discretion bonus <br>Opportunity to shape the future of AI-driven manufacturing <br>Work with diverse teams in a fast-moving, innovative environment <br><br><br>For application, please apply with full resume, current and expected salary and availability by clicking "Quick apply".<br><br>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.<br><br>To adapt to the company's continuous development, we now sincerely recruit high-quality talents to join our intelligent manufacturing innovation team:<br><br>Position: Machine Learning Engineer--Smart Manufacturing (Full-time)<br>Working location: Hong Kong Science Park (Sarawak)<br>Department: AI/ML Research and Development Team<br><br>English writing/hearing proficiency, basic conversational skills are the minimum requirement, please submit your English work resume when applying for a position.<br><br><br><br>This is the Hong Kong Immigration Department's high-caliber application qualifications and application entrance:<br>https://www.immd.gov.hk/hks/services/visas/TTPS.html<br>This is a list of Hong Kong high-caliber B/C talents and their qualifications from undergraduate graduation schools: https://www.immd.gov.hk/pdf/aggregate_list.pdf<br><br>Job Summary:<br>Machine learning engineers will lead the development and integration of machine learning (ML) functions in Laservall's product line. In this position, you will be responsible for machine learning development, aimed at optimizing production workflows, minimizing defect rates, shortening new product development cycles, and building a long-term artificial intelligence strategy. You will work cross-functionally with design, process engineering, and product development teams to embed intelligent systems into our manufacturing processes.<br><br>Main responsibilities:<br>- Design and implement machine learning models for process optimization and predictive quality control<br>- Collect, analyze and simulate large-scale manufacturing data from sensors, machines and production lines<br>- Build data-driven solutions to support faster product development and prototyping<br>- Collaborate with cross-functional teams to deploy ML models to production environments<br>- Develop and maintain internal documents, best practices, and model version pipelines<br>- Assist in the development of a 5-year roadmap for integrating artificial intelligence into smart manufacturing<br>- Monitor model performance in real-time factory data and retrain when necessary<br><br>Qualifications:<br>- Bachelor's or master's degree in Computer Science, Machine Learning, Data Science or related fields<br><br>- Project experience in the following areas: image object detection and classification, time series prediction, reinforcement learning.<br>-Preference will be given to those with experience in large models/ CAE/AR.<br>- Proficient in Python, SQL, and machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, OpenCV, Detectron2, etc.)<br>- Profound understanding of data preprocessing, feature engineering, and statistical modeling.<br>- Good English speaking and writing skills, at least listening is not a problem. <br>- Familiar with linux shell, version control tools (such as Git), MLOps pipelines and CI/CD practices. <br>- Excellent communication skills and cross-functional work ability. Enjoy learning new technologies and working in diverse environments<br>- May need to occasionally travel back and forth to the Shenzhen office on the same day.<br><br>We provide<br>- Competitive salary, including a weekly five-day work schedule, medical benefits, and discretionary bonuses<br><br>- Collaborate with diverse teams in a fast-paced, innovative environment<br><br>Apply with a complete resume, current and expected salary, and a convenient interview time.<br>The collected personal information will be kept strictly confidential and will be used for recruitment purposes only. If the applicant does not receive an interview notification within six weeks, it may be considered that the application was unsuccessful.</p>