In your new role you will: Lead and implement innovative advanced end-to-end solutions on manufacturing product/process that enhance productivity & quality leveraging on data analytics / data science techniques Evaluate, develop and deploy advanced data analytical methods and tools, including prototyping and rule-based decision-making, to optimizeengineering work processes and drive effectiveness in close collaboration with stakeholders.
Drive the development of Yield, Test, and Quality enhancement methodologies and associated business processes, applying advanced data analytics skills to collaborate with engineering teams on problem-solving across products, processes, and test technology topics in the manufacturing domain.
Establish & provide competency training on data analysis/science & statistical methods to engineering peers/community Continuously explore and evaluate state-of-the-art techniques to improve Advanced Analytics/Artificial Intelligence solutions efficiency and effectiveness Drive & collaborate with technical experts on data pipeline development & deployment that support productivity /qualityinitiatives/projects You are best equipped for this task if you have: Master / PhD in Data Science / Engineering / Computer Science/Info-comm Technology or equivalent with more than 3-5 years of relevant experience in Semiconductor or related industry Applied knowledge in statistical data analysis, datamining/scripting (eg.
Python, R) with good understanding in manufacturing engineering processes, methods & analytical tool Applied experience in Artificial Intelligence & Machine / DeepLearning projects & applications (eg.
manufacturing) is required Experience in application of data analysis & data visualization software tools eg.
KNIME, Tableau and relevant techniques Knowledge of machine / deep learning frameworks such as Keras,Tensorflow, Pytorc Relevant knowledge in Front-End / Assembly / Final-Test manufacturing process are essential Candidate with experience in product/process engineering improvementie.
device testing/advanced product/process control / problem solving methodologies (8D, Lean 6 Sigma) is advantageous Strong communication skill, self-driven individual with ability to engage and collaborate well in a cross-functional team Our offer in Malacca Wide range of training offers & planning of career development International assignments Different career paths: Project Management, Technical Ladder, Management & Individual Contributor Exempt working hours are flexible within core hours (9am-12pm & 2pm- 5.15pm) Home office options for certain tasks or due to personal circumstances.
Applicable to exempt employees working on office hours only.
Part-time work possible for exempt employees only.
Exempt staff could apply up to 3-month sabbatical leave, subject to business situation Medical coverage In-house clinic operates 24 hours, doctor consultation possible from 9am to 5pm.
Health promotion programs Social Recreation Center with facilities, such as gym room, squash, badminton and netball court, zumba and yoga classes, etc.
On-site Cafeteria Paid sick leave according to law Additional 3% to Employee Provident Fund after 10 years service with Infineon Malacca.
Re-employment opportunities Productivity incentive bonus Bus service for shift employees Allocated carpark for disabled and pregnant employees Driving decarbonization and digitalization.
Together.
Infineon designs, develops, manufactures, and markets a broad range of semiconductors and semiconductor-based solutions, focusing on key markets in the automotive, industrial, and consumer sectors.
Its products range from standard components to special components for digital, analog, and mixed-signal applications to customer-specific solutions together with the appropriate software.
We are on a journey to create the best Infineon for everyone.
This means we embrace diversity and inclusion and welcome everyone for who they are.
At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities.
We base our recruiting decisions on the applicant´s experience and skills.
Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.