เงื่อนไขการค้นหา

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Assembly, Compliance, Production planning, English

ประเภทงาน:

งานประจำ

• Supervise machine assembly activities, ensuring compliance with technical reference documents (WI, process drawings, BOM, Route, etc.).
• Lead commissioning on returned & new machines processes across functional departments: after sales, design site equipment, planning, supplier quality engineers and quality controls.
• Ensure product traceability and quality standards are consistently applied across sites.
• Monitor and compare process yields across sites, implementing best practices to minimize scrap and defects.
• Strategic & Continuous ImprovementSupport company-wide continuous improvement initiatives, ensuring alignment across departments.
• Propose and implement improvement plans to achieve KPIs.
• Contribute to the definition of standardized work procedures and enforce process discipline across all locations.
• People LeadershipManage teams, ensuring consistent leadership practices.
• Approve recruitment, training, and development plans for assembly teams.
• Conduct performance reviews and ensure cascading feedback to operators.
• Foster collaboration and knowledge-sharing across departments to build a unified team culture.
• Planning & Decision-MakingParticipate in strategic production planning and resource allocation.
• Set daily and weekly priorities, balancing workloads.
• Make higher-level decisions on resource deployment, problem resolution, and operational adjustments.
• Provide consolidated performance reports to direct superior, highlighting risks, opportunities, and recommendations.
• Health, Safety & Environment (HSE)Enforce HSE rules and promote a strong safety culture across all assigned sites.
• Lead cross-site safety awareness campaigns and ensure compliance with company standards.
• Oversee safety audits, inspections, and incident investigations, ensuring lessons learned are shared across sites.
• Report and be accountable for consolidated HSE KPIs.
• Qualification Requirements:Bachelor s degree in mechanical engineering, Industrial Engineering, Electrical Engineering or related field.
• 5+ years of experience in machine assembly, site equipment supervision, or heavy machinery operations, with at least 3 years in a leadership role.
• Strong knowledge of mechanical & electrical systems, assembly processes, and safety standards.
• Proven ability to manage teams operation and make strategic decisions.
• Good command of both written and spoken English.
• MS Offices proficiency.
• Familiar with any ERP software, especially MPS.
• Excellent leadership, communication, and organizational skills.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Industry trends, SQL, NoSQL, English

ประเภทงาน:

งานประจำ

• Design and work on all aspects of bringing ML models into production, develop CI/CD pipelines by collaborating with other disciplines such as data engineering, application development, cloud infrastructure, and security to implement AI solutions in production.
• Work collaboratively with data scientists along the machine learning lifecycle from data pipeline, data preparation, model deployment, and model monitoring.
• Understand and assess AI/ML industry trends to leverage technologies, continuously i ...
• Provide architectural and technical leadership to drive AI/ML capabilities.
• Initiate innovation and development projects to continuously improve the overall efficiency of the team in the engineering aspect.
• Professional Knowledge & Experiences.
• Degree in computer science or related fields, with concentration in Machine Learning/AI engineering.
• At least 3 years of experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, Neural Networks, etc.). Expertise with Data Science and experience with manipulating/transforming data, model selection, model training, and deployment at scale.
• Knowledge and experience in database technologies, such as SQL, NoSQL, and demonstrate knowledge of databases (Google BigQuery preferred), Data ETL framework (Airflow), ML libraries (scikit-learn, XG Boost, PyTorch, etc.), ML Frameworks (Kubeflow, MLFlow, etc.).
• Knowledge and experience in Kubernetes technology. Be able to develop CI/CD pipeline, deploy workloads, configure and monitor jobs on kubernetes clusters.
• Significant proficiency in Python. Experience working with GCP is preferrable.
• Ability to work in cross functional teams, have team-work mindset, self-motivation.
• Excellent written and verbal communication skills in English.
• Additional Desirable Qualification.
• Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions.
• Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.).
• CORE Competencies.