ILLUMINA SINGAPORE PTE. LTD. Hiring! Full Time Manufacturing Equipment Engineer (Operations Intelligence) in North Region (Singapore), Earn up to SGD 4,500 - Ricebowl

Position Summary

As an Equipment Engineer (Operations Intelligence) at our Manufacturing organization, you will be working on multi-disciplinary projects, collaborating with a team of software engineers, process, equipment, manufacturing/product development engineers to develop new data science solutions/models/analytics to improve quality, improve yield, reduce variations, improve manufacturing cycle time, reduce cost, and extend manufacturing capabilities from data in-sights. You are also required to constantly learn/explore new front tier technology and innovatively apply/deliver solutions to Manufacturing operation.

Position Responsibilities:

• Complete required training (e.g. cGMP, safety and work instructions, etc.) within a stipulated time frame.

• Execute tasks strictly following cGMP, Quality, Safety and Work instruction requirements.

• Ensure employees follow safety, quality requirement, and all applicable company policies at all times.

• Develop, troubleshoot and support PLC/HMI-based equipment controls, sensors and industrial communication interfaces

• Partner with Operations Technology and Automation teams to connect equipment data using applicable protocols such as OPC UA, MQTT, Modbus, Ethernet/IP, Profinet, or SECS/GEM.

• Develop and sustain equipment tag mapping, contextualization, databases, APIs, and scalable data pipelines for operational intelligence use cases.

• Develop operational dashboards, equipment health indicators, condition-monitoring rules, and escalation workflows.

• Apply statistical analysis, time-series methods, and machine-learning techniques to equipment anomaly detection, diagnostics, and performance improvement.

• Support AI-assisted troubleshooting and knowledge-retrieval solutions within defined human-review and governance controls.

• Lead or support equipment criticality assessments, FMEA, RCA, incident investigations, and transition from time-based to usage- or condition-based maintenance where justified.

• Develop models related to time series analysis / computer vision / natural language processing on manufacturing related datasets to address various business problems of clients through leveraging advanced statistical modeling, machine learning, or data mining techniques with some supervision.

• Communicate and collaborate with product and software development teams to deploy machine learning models to users.

• Execution of small to medium scale project scope, including ownership of all deliverables, with guidance.

• Able to take on additional tasks or responsibilities when required.

• Develop solutions to restore and sustain optimal functionality of biopharmaceuticals manufacturing equipment and systems with some guidance.

• Incident investigation and reporting:

• Participate or lead cross functional investigation team with some supervision.

• Mentor team members on good investigation & reporting skills.

• Adapt different techniques and concepts in technical writing for effective engagement with individuals and/or teams.
  

Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.

Position Requirements:

• Minimum bachelor’s degree with 2~3 years of experience in using statistical modeling tools to analyze and improve yield and equipment performance or data science roles.

• Complete tasks in a safe and efficient manner.

• Able to undergo job rotation/ cross training.

• Meticulous, keen attention to details and organized.

• Strong cross functional team player.

• High fluency in spoken and written English and presentation skills.

• Ensure compliance with cGMP, Quality, work safety instructions & practices at all times.

• Ability to work independently as well as collaboratively as part of a highly-skilled team.

• Good communication skills possess logical and analytical skills with attention to detail.

• High level of discipline and integrity.

• Able to undertake multiple tasks.

• Possess a positive attitude and sense of urgency.
  

All listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional task and responsibilities.
 

Preferred Experience/Education/Skills:

• Bachelor’s degree or equivalent in Computer Science, Mathematics, Statistics, Engineering or related discipline preferred, Master’s degree will have added advantage.

• Practical knowledge of machine-learning techniques, including time-series analysis, anomaly detection, natural language processing and/or computer vision

• Practical experience in PLC programming and troubleshooting on Siemens, Rockwell/Allen-Bradley, Beckhoff, or equivalent platforms.

• Working knowledge of SQL, databases, APIs, software testing, system integration and source-control tools such as Git

• Understanding of industrial communications, equipment data acquisition, SCADA/historian systems, and OT architecture concepts.

• Proficiency in Python or R, experience with C# and JavaScript will be added advantages.

• Familiarity with one or more deep learning frameworks, such as Keras, TensorFlow, PyTorch, etc.

• Knowledge of Statistical tools such as JMP, Minitab etc.

• Knowledge of data visualization tools such as matplotlib, seaborn, plotly, etc.

• Strong analytical and quantitative problem-solving ability.

• Excellent communication, interpersonal relationship skills and a strong team player.

• Experience with Cloud computing, containerization and data warehouse will be added advantage.