Total 4 Full-time process development engineer job vacancies in Singapore

Primary Function

Responsible for managing and overseeing the introduction of new products, processes, and changes within the manufacturing process, focusing on surface treatments like metal surface treatments like plating and cleaning.

Duties & Responsibilities

1) Surface Treatment Expertise:

• Deep understanding of various surface treatment processes, such as anodizing, chromating, electropolish, cleaning as well as their impact on product performance and reliability.

2) Process Optimization:

• Identifying and implementing process improvements to enhance efficiency, reduce costs, and improve quality.

3) Quality Assurance:

• Developing and implementing quality control systems, conducting audits, and ensuring adherence to industry standards.

4) Customer Requirement:

• Understand customer’s requirement by communicating with customer for every involved to ensure customer’s satisfaction and product quality.

5) Problem Solving and Root Cause Analysis:

• Investigating and resolving issues that arise during the NPI process, often using techniques like failure analysis.

6) Documentation and Record Keeping:

• Maintaining accurate documentation of processes, procedures, and quality control data.

7) Collaboration and Communication:

• Working effectively with cross-functional teams, including product development, manufacturing, and quality control.

8) Continuous Improvement:

• Identifying areas for improvement and implementing solutions to enhance efficiency, reduce costs, and improve product quality.

9) Design for Manufacturability (DFM):

• Evaluating product designs for manufacturability and making recommendations for improvements to ensure efficient production.

10) Project Management:

• Managing NPI projects on time and within budget, including scheduling, resource allocation, and progress tracking.

11) Supplier Improvement Plans:

• Developing and driving plans to improve supplier performance and ensure they meet quality and delivery requirements

Perks & Benefits

• Allowance (phone, transportation, etc.)
• Regular team activities
• Personal leave
• Medical coverage
• Personal leave
• Personal development opportunities
• Paid training and development
• Work Laptop and Mobile phone provided
• Insurance for Hospital and Surgical
• Insurance for Personal Accident
• Keyman Insurance
• Annual Increment
• Annual Bonus
• Productivity Incentives

About the Role

Drive AI-driven automation and intelligent reporting across Finance and Operations to streamline and automate reporting processes.

This role focuses on reducing manual work, improving reporting speed, and enhancing data accuracy, enabling the business to make faster and better decisions.

This role requires a high level of integrity, as it involves handling sensitive financial data and supporting business-critical decision-making processes.

Key Responsibilities:

1) Reporting & Process Automation (Priority Focus)

• Automate weekly and monthly finance reports
• Eliminate manual Excel consolidation and repetitive tasks
• Develop standardized and scalable reporting templates

2) Data Management & Pipeline Development

• Extract and transform data from ERP and internal systems
• Ensure data accuracy, consistency, and integrity
• Build and maintain structured datasets for reporting and analytics

3) Dashboard & Visualization

• Develop interactive dashboards (e.g. Power BI / Tableau)
• Enable management to access near real-time insights
• Improve visibility of key KPIs (sales, cost, margin, etc.)

4) AI & Advanced Analytics (Progressive Implementation)

• Develop and deploy AI/ML models for:
• Forecasting (sales, cash flow, demand)
• Anomaly detection (cost, production, quality)
• Apply practical AI solutions to enhance automation and decision-making

5) Process Improvement

• Identify inefficiencies in current workflows
• Design automated solutions to improve productivity
• Reduce dependency on manual intervention and key personnel
• Ensure proper data governance, accuracy, and confidentiality in all reporting and automation processes.

6) Collaboration

• Work closely with Finance, Operations, and Production teams
• Translate business requirements into practical technical solutions

7) Other Duties

• Any other tasks as assigned by Top Management

Requirements

• Minimum Diploma or Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence or related field
• Proficiency in Python & SQL programming and foundational knowledge of AI and machine learning frameworks
• Understanding of AI modelling techniques, such as supervised and unsupervised learning, and familiarity with software development practices
• Strong problem-solving abilities with an aptitude for analysing datasets and troubleshooting technical issues
• Hands-on experience in model deployment & end-to-end pipeline
• Experience in at least ONE of forecasting/ time series/ computer vision for manufacturing industry or NLP/ automation.
• At Least 5 years’ experience in data engineering.
• Strong analytical mindset and ability to collaborate effectively in a team environment, with clear communication
• High level of integrity, with strong sense of responsibility in handling sensitive financial and operational data, ensuring accuracy, confidentiality, and ethical use of information.

Perks & Benefits

• Allowance (phone, transportation, etc.)
• Regular team activities
• Personal leave
• Medical coverage
• Personal leave
• Personal development opportunities
• Paid training and development
• Work Laptop and Mobile phone provided
• Insurance for Hospital and Surgical
• Insurance for Personal Accident
• Keyman Insurance
• Annual Increment
• Annual Bonus
• Productivity Incentives

新產品導入工程師職位說明

主要功能

負責管理和監督製造過程中新產品、新工藝和新變化的引入，重點關注表面處理，例如金屬表面處理（如電鍍和清洗）。

職責與責任

1）表面處理技術：

• 深入了解各種表面處理工藝，如陽極氧化、鉻酸鹽處理、電拋光、清洗等，以及它們對產品性能和可靠性的影響。

2）流程優化：

• 識別並實施流程改進，以提高效率、降低成本並提高品質。

3）品質保證：

• 制定和實施品質控制體系，進行審核，並確保符合業界標準。

4）客戶需求：

• 透過與客戶溝通了解客戶需求，確保客戶滿意和產品品質。

5）問題解決與根本原因分析：

• 調查和解決新產品導入過程中出現的問題，通常使用故障分析等技術。

6）文件和記錄保存：

• 維護流程、程序和品質控制資料的準確文件。

7）協作與溝通：

• 與包括產品開發、製造和品質控制在內的跨職能團隊有效合作。

8）持續改進：

• 找出需要改進的領域，並實施解決方案以提高效率、降低成本和提高產品品質。

9) 可製造性設計 (DFM)：

• 評估產品設計的可製造性，並提出改進建議，以確保高效生產。

10）專案管理：

• 按時按預算管理新產品導入項目，包括進度安排、資源分配和進度追蹤。

11）供應商改進計畫：

• 制定並推進計劃，以提高供應商績效，並確保其滿足品質和交付要求。

福利待遇

• 津貼（電話費、交通費等）
• 定期團隊活動
• 個人休假
• 醫療保險
• 個人休假
• 個人發展機會
• 有薪培訓和發展
• 提供工作筆記型電腦和手機
• 住院及手術保險
• 個人意外保險
• 關鍵人保險
• 年度增量
• 年終獎金
• 生產力激勵

關於該職位

推動財務和營運部門的人工智慧驅動自動化和智慧報告，以簡化和自動化報告流程。

該職位旨在減少人工操作、提高報告速度和增強數據準確性，從而使企業能夠更快、更好地做出決策。

該職位要求高度誠信，因為它涉及處理敏感的財務數據並支援對業務至關重要的決策過程。

主要職責：

1）報告和流程自動化（優先關注點）

• 自動產生每周和每月財務報告
• 消除手動 Excel 合併和重複性任務
• 開發標準化且可擴展的報告模板

2）資料管理與管道開發

• 從ERP系統和內部系統中提取和轉換數據
• 確保資料的準確性、一致性和完整性
• 建構和維護用於報告和分析的結構化資料集

3）儀錶板和視覺化

• 開發互動式儀表板（例如 Power BI / Tableau）
• 使管理層能夠獲得近乎即時的洞察
• 提高關鍵KPI（銷售額、成本、利潤率等）的可見性

4）人工智慧與進階分析（逐步實施）

• 開發和部署用於以下用途的 AI/ML 模型：
• 預測（銷售、現金流量、需求）
• 異常檢測（成本、產量、品質）
• 應用實用的人工智慧解決方案來增強自動化和決策能力

5）流程改進

• 找出目前工作流程中的低效率之處
• 設計自動化解決方案以提高生產力
• 減少對人工幹預和關鍵人員的依賴
• 確保所有報告和自動化流程中資料治理得當、準確無誤且保密。

6）協作

• 與財務、營運和生產團隊緊密合作
• 將業務需求轉化為切實可行的技術解決方案

7）其他職責

• 高階管理人員指派的其他任何任務

要求

• 計算機科學、工程、數據科學、人工智慧或相關領域的最低文憑或學士學位
• 精通Python和SQL編程，並具備人工智慧和機器學習框架的基礎知識
• 了解人工智慧建模技術，例如監督學習和非監督學習，並熟悉軟體開發實踐。
• 具備較強的解決問題能力，擅長分析資料集與排除技術故障。
• 具備模型部署和端到端流程的實務經驗
• 至少在製造業預測/時間序列/電腦視覺或自然語言處理/自動化領域中的某一方面有經驗。
• 至少5年數據工程經驗。
• 具備較強的分析思考及團隊協作能力，溝通能力清晰。
• 具有高度誠信，對處理敏感的財務和營運數據有強烈的責任感，確保資訊的準確性、保密性和合乎道德的使用。

福利待遇

• 津貼（電話費、交通費等）
• 定期團隊活動
• 個人休假
• 醫療保險
• 個人休假
• 個人發展機會
• 有薪培訓和發展
• 提供工作筆記型電腦和手機
• 住院及手術保險
• 個人意外保險
• 關鍵人保險
• 年度增量
• 年終獎金
• 生產力激勵