Job Description:

• Applied Data Science on Test Yield Analysis & Improvement OpportunityProduct Test Yield and Key Test Parameters Analysis in relationship & correlation to Fab WET data or Wafer Probe Die Sort Data
  Develop a predictive model of product test yield based on available key Fab, Sort monitoring data
  Leveraging on advance data analytics and Artificial Intelligence technique to enable speed of detection, prevention and prediction
  Collaborate with respective product owner PE to drive yield improvement opportunity based on big data analysis or specific excursion with timely detection of abnormality
  
• Quality Monitoring Data & Customer Complaint Analysis in relations to Test Information & Manufacturing Process DataAnalyze real-time monitoring data abnormality (Maverick) detection & prevention measures effectiveness for applicable semiconductor manufacturing processes.
  Leverage predictive analytics to trigger interventions that reduce the risk of yield loss or quality issues.
  Collaborate with respective product owner PE to drive out-quality improvement opportunity based on big data analysis & predictive quality risk
  
• Collaborate with Manufacturing Site to Drive Data-Driven Process Optimization for Yield and Quality ImprovementWork closely with on-site Product, Test or Process engineers to analyze production data, identify trends, and optimize manufacturing processes.
  Use data science techniques to reduce variability and improve overall product quality.
  Leverage on machine learning models application opportunity in Fab, Die probe, Die-to-Reel, Assembly, Test, Tape & Reel process for total continuous improvement & innovation.
  
• Failure Mode Analysis & Customer Risk/RMA MitigationEnhance product quality & reliability by developing predictive models that assess the potential quality risk to customers. Use insights from these models for disposition decision making to ensure compliance with quality standards.
  Collaborate with quality, process, product engineer on in-depth failure mode and effects analysis (FMEA) using historical and real-time data to predict and mitigate potential defects.
  Collaborate with manufacturing teams to implement corrective actions based on predictive insights.
  
• Additional Responsibilities:Track wafer and package yield trends on a daily basis
  Leverage 2DID and Die Level Traceability to perform novel analyses and move yield/quality issues upstream to wafer level whenever possible
  Identify opportunities for cost reduction
  Generate analyses aimed at highlighting device sensitivities and interactions between design/fab/assy/test
  Leverage all available test points to detect anomalies, shifts, drifts, outliers, maverick events as close to the Point of Occurrence as possible
  Identify opportunities for cost reduction
  Monitor/Report on KPI's and facilitate data-driven decision making
  

Requirements:

• Domain Expertise:Bachelor’s or Master degree in Data Science, Computer Science, Electrical Engineering, or a related field, with specialized knowledge in semiconductor manufacturing processes. Experience in predictive analytics for yield and quality in semiconductor fabs is highly desirable
  
• Technical Skills:Proficiency in programming languages such as Python or R, with preferred experience in machine learning libraries and statistical modeling. Strong background in data analysis, including the use of big data technologies and cloud platforms
  
• Experience with Semiconductor Manufacturing:At least 3 years of experience working in semiconductor manufacturing, particularly in roles focused on process monitoring, yield improvement, and quality control. Familiarity with Fab, Die probe, and Assembly processes is essential
  
• Analytical and Predictive Modeling Expertise:Proven track record in developing and deploying predictive models for yield analysis and quality assurance. Experience with tools like JMP, Minitab, or similar for statistical process control (SPC) and predictive maintenance is a plus.
  
• Cross-Functional Collaboration and Communication:Strong communication skills to effectively collaborate with process engineers, quality assurance teams, and other stakeholders. Ability to translate complex data insights into actionable strategies that improve product yield and quality.
  

Interested applicants, please apply via our corporate website under the requisition number 8439 at http://www.qorvo.com/careers/ with a copy of your detailed resume. ​

Job Description

The successful candidate will join the one of SIA Group's Cloud/DevOps teams.

Key Responsibilities include:

• AdministeringcAzure cloud-based Infrastructure deployment which includes tasks such as provisioning/de-provisioning of resources, maintaining security posture, user administration, monitoring computing resource utilization, network setup, backup/restore and incident management.

• Performcsystem administration and troubleshooting activities (including outside normal business hours) in accordance with company policies and procedures.

• Create and maintain documentation and processes for troubleshooting, administration, and configuration on Azure.

• Operate within assigned budget and demonstrates fiscal responsibility. Azure Cost Governance and Optimisation experience preferred.

• Support audit and infrastructure/network security scans, disaster recovery and security related drills.

• Automate everything philosophy to improve development team’s agility.

• Hands-on Infrastructure-as-Code (IaC) on Azure.

• Resident Azure expert, able to train and teach the cloud community within the company.

• Stay up-to-date with Innovations in Data, AI/ML and other cloud technologies that will help the company to reduce cost or improve operational efficiencies.

• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• Possess a degree in Information Technology or related fields.

• Minimum of 3 years of IT experience with at least 1 year of hands-on experience in Azure Cloud.

• Azure Certified Solution Architect Expert (preferred).

• Conversant with IaC infrastructure definition tools such as Terraform, and Azure Resource Manager, using YAML/JSON deployment templates.

• Python/Ansible/Shell scripting skills for provisioning and automating dynamic cloud infrastructure.

• Hands-on experience with containerization, and orchestration (preferred). Working knowledge of API Gateways and reverse proxies.

• Familiar with DevOps CI/CD pipelines and customisations.

• Strong analytical, project management, communications, and interpersonal skills.

• Demonstrated understanding of cloud infrastructure virtualisation, including security best practices, private networking, and operational monitoring tools.

Located at Chai Chee

Precision industry (Clean room)

Japanese MNC

Have AWS + Bonus + Yearly increment

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to become Leader

Requirements

• Diploma in Precision Engineering
• No experience required

Applications:

Please submit a copy of your updated CV in MS Word format stating to [email protected]:

• Current Salary
• Expected Salary
• Date of Available and Reason for Leaving

All applicant will treated private and confidential

Emily Fong

Senior Talent Specialist

Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443

EA Personnel Reg No.: R1768368

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2400+OT+allowances>$3K++

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

• Primary skillset
• Have hands-on exposure to the latest exciting technology trends in creating, managing, and improving CX (Nice in contact) for our users – including AI, Bot, Voice Biometrics, Real-Time Analytics, and Interactive Guidance.
• Have direct involvement working with end-users to understand their business strategies, enabling us to help them achieve company goals and outcomes through the use of CXone solutions.
• Be innately curious, with a passion and eagerness to have hands-on technology. Build and create solutions that help end-users meet their CX objectives.
• Have the desire to work independently, flexibly and possess critical thinking in creative solutions for our end-users
• Be able to create a customized demo and have the opportunity to tell the story that showcases the solution in a persona and value-based manner for the applicable user roles of CXone
• Discover user needs that translate into hands-on workshops, sandbox experiences, or proofs of concept to help customers realize the value of CXone
• Have access to a collaborative, team-oriented environment, along with access to other internal resources across the organization to help you understand and solve complex technical challenges while participating and contributing in key areas of experience and strength.
• Have access to actively participate in learning from hands-on CXone Product training, workshops, including live, on-demand, and in-person, learn competitive offerings that allow you to continue to be a trusted advisor to the users while ensuring value is realized from our solution.
• Be able to work in a fast-paced, cross-functional team while being able to multi-task, prioritize and be detail-oriented – both oral and written.
• Be able to demonstrate an understanding of security, how it applies to our customer's security needs, and able to articulate a solution that meets their needs, both in design, transit, and at rest.
• Have existing experience in CCaaS or experience working with Cloud products.
• Have 8-10 years of work experience, preferred experience in technical training, implementation, integrating to CRMs, DBs Omni-channel, other software implementation or development/coding experience
• Have bonus experience with REST, JSON, and APIs
• Must be well versed in using Microsoft Excel
• Has experienced in deploying Regional or Global projects
• The following are the CXone products and tools we need support from the engineer:
• Supervisor tool
• Performance Management tool
• Interaction Analytics
• CXone Predictive Behavioral Routing
• Feedback Management Tool
• WEM Enterprise
• Auto Attendant
• MAX and MAX integration
• CRM agent Applications
• Data Dictionary
• Pre-Build Report
• Custom Reporting
• Data Download Report
• Direct Data Access
• Dashboards
• Get Studio
• ACD scripting
• Developer Portal
• IVR
• Cloud Storage
• Workforce Intelligence.
• Secondary skillset
• 1. Support Avaya UC and CC implementation and operations
  2. Support NICE recording solutions implementation and operations
  3. Support IP Telephony, VLAN, LAN, and WAN
  
  The following are the products we need support from the engineer:
• Avaya Comms Mgr
• Avaya Session Mgr
• Avaya System Mgr
• Avaya Aura Messaging
• Call Accounting
• Avaya CMS
• Avaya Utility Server
• Avaya SAL Gateway
• Avaya Agent Map
• Nice Applications/IC
• Nice Storage Ctr
• AES