Total 16 Others/Any science job vacancies in D16 Upper East Coast, Bedok, Eastwood, Kew Drive

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. ​

The Humanities, Arts, and Social Sciences (HASS) cluster at the Singapore University of Technology and Design (SUTD) seeks applicants for a full-time, tenure-track faculty position specialising in the philosophy of science and technology. Appointments will be made on an initial three-year contract with the possibility of renewal.

We are particularly interested in applicants who can play an instrumental role in addressing questions relating to ethics in Artificial Intelligence (AI) and other emerging technologies—both through teaching students who are pursuing engineering, computer science, and architecture majors and through interdisciplinary research collaborations with engineering, design, and computer science faculty. Applicants should have a Ph.D. in a humanities-related discipline, such as philosophy or digital humanities, and have demonstrated research and teaching expertise in their field.

Besides cultivating a strong research portfolio, the successful candidate will be required to teach our undergraduate humanities core course and new electives in the candidate’s area of specialisation. Candidates who can contribute to our cluster’s digital humanities minor programme will also be viewed favourably. Other duties include working with faculty to contribute to interdisciplinary research and teaching initiatives, such as mentoring students as they work on their capstone projects or fostering collaborations with industry or public service sectors.

Application Details

SUTD offers degrees in engineering, architecture, and design with a strong emphasis on creating a better world by design and strives to nurture culturally competent innovators, technologists, designers, and entrepreneurs. Its key interdisciplinary areas in research and teaching are AI, aviation, cities, and healthcare. The HASS cluster plays a pivotal and critical role in the university’s commitment to world-class teaching and research excellence.

The current HASS faculty brings core expertise in literature, history, philosophy, theater, film studies, anthropology, communication, psychology, sociology, business, economics, and urban studies. This unique combination of interdisciplinary faculty has given rise to thought-provoking research and teaching that contribute significantly to HASS disciplines, as well as to interdisciplinary projects with other departments at SUTD, such as Architecture and Sustainable Design (ASD), Design and Artificial Intelligence (DAI), Engineering Product Development (EPD), Engineering Systems and Design (ESD), and Information Systems Technology and Design (ISTD). For more information, please visit the following websites: https://www.sutd.edu.sg/ and https://hass.sutd.edu.sg/

We especially seek creative scholars with the potential to develop new directions in humanities teaching and research and who are interested in joining an interdisciplinary humanities, arts, and social science department at an engineering and design university.

Candidates should submit the following materials to [email protected]:

1. A cover letter.

2. A curriculum vitae.

3. A statement of current and future research plans.

4. A statement of teaching experience and philosophy.

5. A 500-word description and selected bibliography of up to ten readings for two courses you may wish to offer.

6. Two representative publications (e.g., articles, book or dissertation chapters, or works in progress).

7. Names, affiliations, and email addresses of three referees. (Please note that candidates who advance to the interview stage will be asked to submit two letters of recommendation. Please have your recommenders ready to send their letters via email or Interfolio.)

Full consideration will be given to applications received by 29 November 2024. Interviews will likely take place at the end of January/early February 2025.

For more information about the position, please contact [email protected].

- Looking for a English/Maths/Science tutor to teach tuition at home (located next to Lentor MRT, near Yio Chu Kang.

- Teach a Pri 3 student and Pri 1 student English/Maths/Science and supervise their homework

- Work twice per week, weekdays from 3 to 6 pm.

- Experienced tutors with excellent academic results preferred

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 lessons according to the centre's curriculum for primary 2 to 6 math and primary 3 to 6 Science (up to 10 classes a week)
• 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]. Position strictly only open to Singapore Citizens and P.R.

Job Description & Requirements

• Deliver High-Quality Science Lessons:Conduct individual sessions for the student.
  Develop and implement lesson plans that meet the specific needs and learning styles of the student.
  Use a variety of teaching methods and materials to engage student and enhance the learning experience.
• Assess and Monitor Student Progress:Conduct regular assessments to evaluate student progress and identify areas for improvement.
  Provide constructive feedback and guidance to help student improve their English skills.
  Maintain accurate records of student performance and communicate progress to parents/guardians.
• Curriculum Development:Assist in the development and enhancement of English curriculum and teaching materials.
  Stay updated with the latest educational trends and incorporate innovative teaching strategies.
• Supportive Learning Environment:Create a positive and encouraging learning environment that motivates students to achieve their best.
  Address any learning challenges or behavioral issues in a professional and supportive manner.
• Professional Development:Participate in training sessions and workshops to continually improve teaching skills and knowledge.
  Collaborate with other teachers and staff to share best practices and resources.

-Working time: Monday to Saturday, 2 hours per each day

-The ideal candidate will be a graduate or current student from the National University of Singapore (NUS) with a strong background in English language and literature.

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.

Achievers Dream is the leading Science / Chemistry Tuition Specialist Centre in Singapore. We have been helping more than 1000+ students to excel in Science and Chemistry. Currently, we are expanding our operations, and we are looking for dedicated and experienced teachers who specialize in teaching Science from P5 to Sec 2.

Responsibilities:

• Teaching Science / Chemistry (lower secondary & upper secondary) to a range of classes
• Monitoring and evaluating the progress and development of the students and giving useful and timely feedback to students and parents.
• Monitoring students’ well-being and motivating them to achieve their goals.
• Working with others in supporting the curriculum development/review
• Maintaining up-to-date subject knowledge and relevant teaching resources.

Job Requirements:

• Have at least 3-5 years of teaching experience (upper primary to lower secondary level) in the relevant subject.
• Have a strong commitment and passion for teaching.
• Have a broad and thorough knowledge of the relevant subject.
• Be self-motivated, responsible, caring and innovative.
• Have the ability to work well in teams.

Kindly read through the job description before applying.

We regret that only short listed candidates will be notified.

Job Highlights

• Wonderful Co-workers
• Competitive Salary
• Job Security

Job Description

Wondrous Mind is looking for part-time teachers to teach small secondary school classes (max at 8 students) of teenagers aged from 13 to 16 years.

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, 4 Chemistry [Depending on the class that you are able to take]
• Monitor the performance and progress of each student
• Liaising with parents on student's progress and give constructive feedback and solutions
• Perform other relevant duties

Requirements:

• Able to commit for one full academic year (Until 1st week of Oct 2024)
• Possess a Bachelor's degree
• Passionate about teaching
• Open-minded
• Love for children and patience
• Responsible, be punctual to class and be well prepared before class
• No experience but eager to learn and teach may apply

Working Hours

Part Timer: Weekends

Salary: $30 to $60 per hour [Depending on your teaching experience and qualification]

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 send your resume to [email protected] .

Position only open to Citizens and P.R. Please also indicate the levels that you can teach.

The Singapore University of Technology and Design (SUTD) is a young and innovative university with a unique educational structure and mission of creating a better world by design. SUTD was established in 2009 as the fourth public funded university in Singapore in collaboration with MIT and Zhejiang University.

With a small student-to-faculty ratio, an innovative active-based learning pedagogy, an interdisciplinary pillar organization, a stellar faculty, and a beautiful new campus, SUTD aims to nurture future technological leaders in engineering and architecture. SUTD is considered by international experts as an emerging leader in its engineering education.

http://news.mit.edu/2018/reimagining-and-rethinking-engineering-education-0327

We invite applications for a teaching track position at lecturer or senior lecturer level at the Science, Mathematics and Technology (SMT) Cluster. Duties include teaching of undergraduate and continuous education courses, advising undergraduate student projects, conducting pedagogical research, creating innovative curriculum, student outreach, and service to SUTD and the community. We are particularly interested in individuals with a strong and genuine interest in promoting STEM education at levels.

The minimal qualifications for the faculty position include:

1. An earned doctorate in Applied Mathematics, Physics, Bioinformatics or related engineering fields,
2. A strong passion and high competence in teaching applied mathematics, physics, modeling/simulation and related courses at the undergraduate levels,
3. Excellent communication skills,
4. Prior teaching experience including experience in technology-enabled learning, is preferred,
5. Prior experience in pedagogy research is preferred,
6. A demonstrated record of, or potential, for teaching to industry partners, and
7. A demonstrated record of, or potential, for scholarly research.

Requirements

Please submit your full application package, it should include:

1. Statement of interest / Cover letter
2. Teaching statement and prior teaching experience
3. Past student feedback, if applicable
4. Research statement
5. Full resume with profile, and publication list
6. Sample of published works
7. Contact information of 3 referees

Admin Executive & Receptionist

ㅤEmbark on a meaningful career to make a real difference in the lives of children!

ㅤScience Studios is a leading education centre specialising in the teaching of primary school science through engaging experiments and excellent printed materials. Learning at Science Studios is also supplemented by, and enhanced through, proprietary online resources.

ㅤWe believe children should enjoy learning in order to achieve better grades. We go the extra mile to carefully design, prepare, and deliver each lesson so that students are engaged and have fun learning. For many students, coming to Science Studios is one of the highlights of their week! If you want a positive work environment where you can make a real difference, this is the right place for you!

ㅤWe currently have 3 branches across Singapore: West (Bukit Timah Plaza), Central (Balmoral Plaza) and East (Eastgate at Katong). Do let us know if you prefer to work at one of the locations.

Job Description:

• Communicate with customers regarding SS programmes, fees, replacement classes, etc.

• Prepare apparatus for experiments. This includes purchasing and maintaining inventory.

• Mark quizzes and monitor students’ progress to help them achieve better grades.

Requirements

+ Passionate about enriching children's lives through effective education.

+ Maintain high standards with a strong attention to detail. Thorough and accurate when accomplishing assigned tasks.

+ Able to work one and a half weekend days (Sunday from 12 noon, and Saturday).

[2 weekdays, including Fridays, will be rest days. You’ll be able to avoid weekend crowds on your rest days. Furthermore, there is no need to work on most weekends in June and December.]

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.

The Academic Instructor is required to teach the courses in the undergraduate programs offered by the University at Buffalo, The States University of New York, US, in partnership with Singapore Institute of Management.

The roles would include:

• Creation of course design and materials, and implementation of syllabus to meet UB learning objectives;
• Delivery of student-centered, interactive course curriculum, including supervision of project work;
• Create, administer, and mark assessment instruments;
• Evaluate student progress and achievements;
• Hold regular consultation hours;
• Maintain and submit academic records.

Job Requirements:

• A Ph.D or Master's Degree in the exact discipline as specified by the teaching assignment from a nationally or regionally (USA) accredited university is required;
• Terminal degree is preferred;
• At least 2 years of relevant full-time teaching experience in the exact discipline as specified by the teaching assignment at the tertiary level is required;
• Ability independently operate all class level functions of Blackboard classroom management system, including Grade Center, is required;
• Substantial evidence of an active academic research agenda and recent history of publication(s) in peer-reviewed scholarly journal(s) are strongly preferred;
• 5 years of relevant work experience will be an advantage;
• Available to teach during day time on weekdays

Note:

• Only short-listed candidates who meet the specified requirements will be notified.
• Remuneration varies based on the number of classes concluded.

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.

Admin Executive & Receptionist

ㅤEmbark on a meaningful career to make a real difference in the lives of children!

ㅤScience Studios is a leading education centre specialising in the teaching of primary school science through engaging experiments and excellent printed materials. Learning at Science Studios is also supplemented by, and enhanced through, proprietary online resources.

ㅤWe believe children should enjoy learning in order to achieve better grades. We go the extra mile to carefully design, prepare, and deliver each lesson so that students are engaged and have fun learning. For many students, coming to Science Studios is one of the highlights of their week! If you want a positive work environment where you can make a real difference, this is the right place for you!

ㅤWe currently have 3 branches across Singapore: West (Bukit Timah Plaza), Central (Balmoral Plaza) and East (Eastgate at Katong). Do let us know if you prefer to work at one of the locations.

Job Description:

• Communicate with customers regarding SS programmes, fees, replacement classes, etc.

• Prepare apparatus for experiments. This includes purchasing and maintaining inventory.

• Mark quizzes and monitor students’ progress to help them achieve better grades.

Requirements

+ Passionate about enriching children's lives through effective education.

+ Maintain high standards with a strong attention to detail. Thorough and accurate when accomplishing assigned tasks.

+ Able to work one and a half weekend days (Sunday from 12 noon, and Saturday).

[2 weekdays, including Fridays, will be rest days. You’ll be able to avoid weekend crowds on your rest days. Furthermore, there is no need to work on most weekends in June and December.]