Job Highlights

• Wonderful Co-workers
• Competitive Salary
• Job Security

Job Description

If you know teaching is your calling, we want you!

Over at Wondrous Mind, we believe that every child has the potential to succeed and it is our duty to help them achieve their fullest potential. No child is left behind. All teachers aim to deliver our best during our classes.

Responsibilities:

• Conduct lessons according to the centre's curriculum for Secondary 1 to 4 Emath, Amath, Secondary 1and 2 science, Secondary 3 and 4 chemistry. (Selected subjects and levels)
• Lesson planning and curriculum writing
• Monitor the performance and progress of each student
• Liaising with parents on student's progress and give constructive feedback and solutions
• Reviewing lessons and programme
• Perform other relevant duties

Requirements:

• Possess Bachelor degree
• Passionate about teaching
• Open-minded
• Love for children and patience
• Can do attitude
• Responsible
• No experience but eager to learn and teach may apply

Working Hours:

Full Timer: 3 weekdays, both weekends.

Salary will commensurate with relevant qualification and experience.

Range: $2800 - $4000 per month

Training on methodology will be provided for recruited teachers.

Individuals with no experience are highly encouraged to apply, looking out for individuals who are passionate with teaching. Small team with plenty of room for growth.

Interested candidate, please submit your resume to [email protected]

Please indicate the subjects and level you prefer to teach.

Job Highlights

• Wonderful Co-workers
• Competitive Salary
• Job Security
• Supportive management

Job Description

If you know teaching is your calling, we want you!

Over at Wondrous Mind, we believe that every child has the potential to succeed and it is our duty to help them achieve their fullest potential. No child is left behind. All teachers aim to deliver our best during our classes.

Responsibilities:

• Conduct up to 10 classes a week according to the centre's curriculum for Primary 2 to 6 math and Primary 3 to 6 Science (only selected levels and subjects)
• Lesson planning and curriculum writing
• Monitor the performance and progress of each student
• Liaising with parents on student's progress and give constructive feedback and solutions
• Reviewing lessons and programme
• Perform other relevant duties

Requirements:

• Possess Diploma / Bachelor degree
• Passionate about teaching
• Open-minded
• Love for children and patience
• Can do attitude
• Responsible
• No experience but eager to learn and teach may apply

Working Hours:

• 3 weekdays, 2 weekends

Training on methodology will be provided for recruited teachers.

Individuals with no experience are highly encouraged to apply, looking out for individuals who are passionate with teaching. Small team with plenty of room for growth.

Interested candidate, please email your resume to [email protected].

Please indicate your preferred levels and subjects to teach.

Position strictly only open to Singapore Citizens and P.R.

Job Highlights

• Wonderful Co-workers
• Competitive Salary
• Job Security

Job Description

If you know teaching is your calling, we want you!

Over at Wondrous Mind, we believe that every child has the potential to succeed and it is our duty to help them achieve their fullest potential. No child is left behind. All teachers aim to deliver our best during our classes.

Responsibilities:

• Conduct lessons according to the centre's curriculum for Secondary 1 - 2 science, Secondary 3 and 4 chemistry.
• Lesson planning and curriculum writing
• Monitor the performance and progress of each student
• Liaising with parents on student's progress and give constructive feedback and solutions
• Reviewing lessons and programme
• Perform other relevant duties

Requirements:

• Possess Bachelor degree
• Passionate about teaching
• Open-minded
• Love for children and patience
• Can do attitude
• Responsible
• No experience but eager to learn and teach may apply

Working Hours:

Full Timer: 3 weekdays, both weekends (until 5 pm).

Training on methodology will be provided for recruited teachers.

Individuals with no experience are highly encouraged to apply, looking out for individuals who are passionate with teaching. Small team with plenty of room for growth.

Interested candidate, please email your resume to [email protected]. Position only open to Citizens and P.R.

Job Purpose

This role drives the development and successful implementation of a highly effective Global Life Science and Healthcare sector product strategy for DGF Airfreight in the region. Collaborate with the Global-, Regional- and Country Product Heads and Sales to align the sector product strategy for the region. Take ownership of market and sector knowledge, leading the sub-function for the sector product within the DGF Region. Provide input and lead the implementation of the functional strategy to develop segment strategies and business plans. Enhance the performance of sector management, supporting business growth objectives in accordance with industry and market needs, division strategy, objectives, and Group guidelines and policies.

Key Tasks

1. Sector Product Strategy:

· Contribute to the sector product strategy in alignment with the overall product strategy, objectives, and policies.

· Drive operational plans, measures, and budgets to achieve defined results for the sector.

· Execute and implement the sector strategy and roadmap in relevant geographies.

· Produce, coach, and develop global win plans for the sector community and opportunities.

2. Product Development:

· Identify key trends in the industry and collaborate with stakeholders to develop innovative solutions.

· Establish regional sector-specific infrastructure and operations together with regional or country teams.

· Establish commercial and operational guidelines and processes to drive product growth & margins.

· Monitor competitor activities, develop segment strategies and business plans for the sector.

· Provide high-level advice within the sector and regions to counterparts globally.

· Stay updated with sector-specific regulations and standards and communicate any changes or updates to relevant teams.

3. Sector Business Development:

· Serve as the senior point of contact for sector-related customers or shipments within the community and region.

· Lead, organize, and control highly strategic business activities and product initiatives.

· Support business development, account management, and sales activities for the specific sector.

· Participate in business development opportunities, including QBR and RFQ activities, for the sector and act as product sponsor.

· Direct the development of marketing plans, determine research priorities, recommend sales channels, and provide direction for product promotion.

4. Operational Excellence:

· Identify areas for improvement and implement strategies to enhance operational efficiency and effectiveness for the sector.

· Foster a culture of continuous improvement and best practices sharing across the sector and industry management.

· Implement performance metrics and KPIs to monitor and measure operational performance, ensuring alignment with defined goals and objectives.

· Collaborate with cross-functional teams to streamline processes, optimize resources, and enhance overall operational performance.

· Identify and mitigate operational risks within the sector, ensuring compliance with industry regulations and standards.

5. Product Quality & Compliance:

· Develop and implement quality controls and compliance measures to ensure adherence to sector-specific regulations, standards, and guidelines.

· Establish and monitor processes and procedures to ensure product quality and consistency across the sector.

· Conduct regular audits and assessments to identify areas of non-compliance and implement corrective actions.

· Collaborate with internal stakeholders to ensure that sector operations meet all applicable compliance requirements.

· Provide guidance and support to the sector in maintaining a high level of quality and compliance in all operations.

Management Responsibility

· Develop a comprehensive EBIT growth plan and detailed financial projections for the sector product regionally.

· Oversee regional network capabilities and developments to ensure sector product quality and compliance.

· Collaborate with multiple project teams, promptly communicate resource needs to the Global Sector Product Head and the Regional Airfreight Head.

· Provide indirect management oversight, including dotted line responsibility for product members and coaching support.

Skills

• Technical Skills: Deep understanding of relevant sector- & industry standards and market trends.
• Communication Skills: Strong written and verbal communication skills.
• Analytical Skills: Ability to analyze information and make data-driven decisions to solve problems, often applying critical thinking.
• Teamwork and Collaboration: Excellent collaborator and mediator to deliver results.
• Adaptability and Flexibility: Adapt to changing circumstances, handle multiple tasks, and work under pressure.
• Time Management and Organization: Ability to prioritize tasks, meet deadlines, and operate in matrix organization.
• Leadership Skills: Ability to motivate and inspire others, delegate tasks, and provide guidance.

Qualifications & Key Requirements

• Bachelor’s degree (or equivalent)
• Minimum of 8 years of experience in forwarding and/or sector-related companies.
• Extensive experience collaborating with global, regional, and country organizations to successfully implement solutions.
• Proven track record of achieving sector growth in terms of revenue and gross profit.
• Ability to navigate and excel in a matrix organization structure.
• In-depth knowledge and experience in freight forwarding and the logistics industry.
• Strong understanding of logistics infrastructure and service providers.
• Expertise in the sector industry, with a deep understanding of its dynamics.
• Demonstrated sales success and a solid track record in the sector industry.
• Strong project management skills, with the ability to successfully lead and execute projects.
• Excellent knowledge of main markets and local regulations related to sector commodities.
• Fluent in English, with strong communication and language skills.

Job Description

SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• Relevant internship or industry experience as a hands-on data scientist/AI engineer in shallow and/or deep learning (you should be very comfortable with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

Responsibilities:

- Deliver dynamic, clear, and engaging lessons based on lesson plans.

- Develop lesson plans and resources to support students’ academic success.

- Build strong relationships with both students and parents.

- Provide timely feedback to help students reach their full potential.

Requirements:

- At least a bachelor’s degree or equivalent.

- Up to date with latest MOE syllabus.

- Able to customize teaching materials for different learning levels.

- A dynamic and approachable personality.

- Strong communication and teamwork skills.

- Passion for teaching and helping students succeed.

- Candidate must be able to work on weekdays evenings, weekends.

- Candidate with teaching experience will be advantageous.

Benefits

1. AWS + Performance bonus.

2. Enjoys insurance and medical subsidy, annual leaves, medical leaves.

3. Flexible working culture.

4. Career growth opportunities & Staff incentive.

5. Part time teachers will depend on past experience.

6. Children of the Company's full-time teachers are eligible for a waiver of tuition fees.

Working hour

5.5 days/44 hours per week.

Any interested please:

Email: [email protected] Or WhatsApp: +65 97591599 (Ms Jessy)

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. ​