Responsibilities

• Perform investigations and reports results of haematology clinical chemistry and urinalysis.
• Perform skin scrapings, microscopic examinations for fungi and report results.
• Perform slit-skin smears, microscopic examinations for M.Leprae and reports results.
• Microscopic examinations for wet and stained smears for micro-organisms and reports results.
• Work in all laboratories by rotation.
• Undertake duties as assigned by Medical Technologist/Senior Medical Technologist.
• Perform sorting and compilation of laboratory request forms.
• Key in test results and other laboratory data into computer.

Requirements

• Min Diploma in Biomedical Sciences/relevant fields
• No experience required, training will be provided
• Meticulous and have good analytical insights
• Keen interest in the healthcare industry
• Able to start on immediate or short notice

If you are interested in interested candidates are invited to email your resume to:

[email protected]

We regret to inform that only shortlisted candidates will be contacted

Lynn Ho

R23114223

Recruit Express Pte Ltd

99C4599

Job Description

• Industry/ Organization Type: Digitization solutions/services
• Position Title: Data Processing Executive
• Working Location: Marymount
• Working Hours: Monday – Friday, 9 am – 6.15 pm
• Salary Package: Up to $1,400
• Duration: Permanent

Key Responsibilities

• Checking all the inward documents with the provided list from customer.
• Document Preparation – Removing documents from bindings, removing staples, removing tags & binders.
• Scanning – Scanning of documents with production scanner.
• Quality Control – Checking all the scanned images with original documents and marking all the errors.
• Capturing indexes from documents and populating them in Excel or Word.
• Filling up all the records and reports required for daily production.
• Helping logistic person to receive and deliver documents from various clients.

APPLY NOW!!!

• Candidates without experience are welcome to apply.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #65852 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Norman Wee | EA Reg No.: R23115114

Lab Website: https://sites.google.com/view/singaporepharmacometrics/

Correspondence: [email protected], [email protected]

Description:

We are the Research Data Integration group, at Bioinformatics Institute, A*STAR.

We are looking for a research officer to assist with various projects in the lab related to big data in precision medicine through the use of data science tools such as machine learning and pharmacokinetic/pharmacodynamic (PK/PD) modeling. The research officer will be expected to perform bioinformatics-related tasks, such as multi-omics analysis, compile and manage databases, and execute basic PK/PD models and analysis in R. On the job training will be provided for pharmacometrics expertise, a highly sought after skill in the field of drug development.

Responsibilities:

• Provide technical and dry-lab support to the team’s research activities.
• Assist with hands-on experiments and operations including immunofluorescent imaging and blood sampling for PK analysis.
• Follow analytic procedures and instrumental operation guidelines, plan and execute experiments independently.
• Perform data collection and analysis, present progress reports, and manage research data and notes.
• Maintain lab inventory and procurement of laboratory consumables.
• Engage in literature review and research discussion.
• Assist the team with the maintenance of smooth and safe operation in the working environment.
• Ensure project deliverables are met in a timely manner and to the highest standard.

Requirements:

• Degree in Pharmaceutical Science, Life Science, computer science, chemical engineering, or pharmacy-related discipline.
• At least 5 years of relevant experience
• Basic data wrangling skills in R.
• Good understanding of pharmacology concepts
• Familiarity with PK analysis software such as Monolix, WinNonlin and/or NONMEM is a plus.
• Minimum one-year data science research experience required.
• Good organizational skills and ability to multitask.
• Highly motivated, keen to learn and committed to laboratory work.
• Able to work independently and as part of a team.
• Good communication (verbal and written) and presentation skills.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Hitachi Asia Ltd., a subsidiary of Hitachi, Ltd., serves as the regional headquarters for seven countries across Southeast Asia (Indonesia, Malaysia, Myanmar, Philippines, Singapore, Thailand and Vietnam).We are constantly increasing our presence through our forays in information & telecommunication systems, power systems, social infrastructure & industrial systems, electronic systems and equipment, construction machinery, high functional materials and components, automotive systems and home appliances, among many more. Our commitment to excellence drives us to continually expand our presence in the region.

Key Job Duties:

To lead Social implementation of digital solutions that make full use of AI technology. Through collaboration with academia, grasp the latest AI technology trends and disseminate them internally.

1) Industry Awareness and External Network
Scout and standardize market research methods to identify innovative industry trends, disruptors, and new market spaces for emerging or new market opportunities.

2) Innovation Strategy, Pipeline and Roadmap
Champion an innovation stream within the innovation road map, ensuring the right resources are in place to execute on the strategy.

3) Win Research Funding
Contribute to developing business cases for research funding to quantify current costs, justify project investment, and identify the return on investment.

4)Research
Develop and/or deliver a plan for significant aspects of a research program with guidance from senior colleagues.

5) Product and Solution Development
Ability to conceptualize solutions, conduct research and development on leading practices, an innovative individual, working with both internal and customer teams. Analyze and evaluate the feasibility and relevance of proposed complex products and services - and develop and amend as necessary with guidance from senior colleagues. May also be responsible for supervising activities performed by a product development or specialist team.

6) Information and Business Advice
Provide specialist advice on the interpretation and application of policies and procedures, resolving complex or contentious queries and issues and enabling others to take appropriate actions.

7) Knowledge Management
Develop policies and processes, create best practices, set up case studies, and deliver internal knowledge-sharing sessions to capture, and share knowledge on project/program outcomes and innovative practices in a particular area of expertise to share knowledge among colleagues and to support the practice.

Qualifications:

• Master degree preferably in Engineering, Computer Science, Statistics, Economics, Mathematics or related quantitative field.
• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• 3 or more years of relevant of work experience in hands on data science, Data/ ML engineering.
• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings and may create dynamic data reports.
• Excellent written and oral communication skills in English.

• Design and deploy data engineering solutions on OpenShift Container Platform (OCP)
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference
• Provide technical leadership, mentorship, and guidance to junior team members
• Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives
• Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions
• Ensure data quality and integrity throughout the data processing lifecycle
• Optimize data engineering workflows for containerized deployment and efficient resource utilization
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability
• Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements
• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference

Job Responsibilities:
1. Support data classification and taxonomy methods and standards, understand business and cooperate with the data team. Support analysis, identification, and marking of various data samples in storage, and ensure accuracy and recall rate.
2. Support the R&D team to improve algorithm recognition and machine learning ability, analyze badcase of algorithm-recommended data labels, put forward suggestions and basis for annotation/labeling, and participate in the discussion of algorithm model improvement solutions
3. Deeply understand the business, investigate the data samples of each business line, and improve the classification standard of data labels and sample database
4. Improve the data annotation operation process, optimize the label sampling and review mechanism, and improve the efficiency of manual standards
5. Participate in the functional optimization design of the annotation platform

Ability requirements:
1. Majored in Computer Science or IT-related, with research and development in testing, data analyst or DBA experience, familiar with all kinds of data samples in storage
2. Excellent communication and analysis skills and good reasoning skills, able to quickly understand the business and judge the sample type according to the business attributes
3. Be able to effectively do repetitive tasks and effectively with a minimum of errors
4. Knowledge of artificial intelligence and machine learning.

Interested applicants, please share your updated resume to [email protected] or click "Apply now" function.

We regret to inform you that only shortlisted candidates will be notified.

Shirley Monisha

EA personnel no: R22106767

Manpower Staffing Services (S) Pte Ltd

EA License No. 02C3423

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

Head, Data Engineering and ArtificiaI Intelligence (AI) at the National University of Singapore (NUS) Yong Loo Lin School of Medicine (NUSmed) is entrusted with a multifaceted role that involves shaping a long-term vision for harnessing the power of data across the 10 Translational Research Programs (TRPs) under the guidance of the Vice-Dean (Research). These programs encompass critical initiatives such as Assoc. Prof Jason Lee's Heat Resilience and Performance Centre, Prof Michael Chee's Centre for Sleep and Cognition, as well as numerous associated clinical trials.

A core aspect of this role revolves around the strategic architecture and leadership required to establish a robust Common Data Infrastructure for research cohorts. This infrastructure aims to achieve significant cost savings by streamlining data management processes, enforcing rigorous data governance and privacy compliance, and optimizing research efficiency throughout NUSmed. Moreover, this role is at the forefront of championing the adoption of cutting-edge AI and Machine Learning (ML) capabilities in the realms of healthcare and biomedical research. Notably, it places a strong emphasis on the application of core frontier technologies like Explainable AI (XAI) and Privacy Preserving Technology (PPTech) to drive rapid adoption in clinical settings, with the ultimate goal of enhancing the healthcare sector and extending its positive impact beyond. Furthermore, the Head actively fosters collaborative relationships with industry leaders, research institutions, healthcare clusters, and government bodies. These collaborations are instrumental in advancing interdisciplinary research, particularly in areas such as digital health and AI, where innovation and transformative breakthroughs are imperative. The Head is dedicated to the establishment of transformative training programs on incorporating computational methods to the medical fraternity. These programs are designed to equip researchers, medical students, and professionals with essential computational skills, empowering them to make ground-breaking discoveries and harness the full potential of machine learning for tangible, real-world impact.

Responsibilities include:
• Architect and lead the building of Common Data Infrastructure across research cohorts in NUSMed for computational efficiency, cost savings, data governance and setting the foundation for future exploitation (i.e. AI/ML capabilities)
• Establish cutting edge MLOps and LLMOps process flows to enable AI and ML to be applied at scale
• Lead programs to leverage on frontier technology to overcome obstacles in adoption of AI and ML in healthcare such as Explainable AI (XAI) and Privacy Preserving Technologies (PPTech)
• Lead and nurture engagement with important stakeholders in industry, research institutions, healthcare clusters and government
• Establish programs to advance interdisciplinary work between computational engineers with clinicians, as well as training programs on computational methods

Qualifications

• Bachelors or Masters in a quantitative discipline such as Computer Science, Engineering or Applied Mathematics
• Certifications in cloud technology (e.g. AWS) and scrum methodology (e.g. CSM)
• Demonstrated leadership with a strategic vision for advancing data-driven initiatives and AI adoption in healthcare
• Expertise in data engineering, AI, ML and healthcare systems
• Proven track record of delivering large scale data platforms
• Experience leading and growing highly technical teams
• Proactive with strong problem-solving, negotiation and communication skills interface with multiple stakeholders
• Ability to foster collaboration between technical teams and healthcare professionals for impactful projects
• Strong focus on achieving measurable impact through strategic data and AI/ML application in healthcare

ABAP Consultant (14139251)

This is a 12 months contact assigned to our client

Work Location: To be confirmed

Salary Range : $6,000-$8,000

Job Description

1. SAP HCM On Premise ABAP

2. SAP ABAP Development for HANA

3. Over 3 years of experience involved SAP ABAP debugging in Human Resources / HCM with S/4 Conversion

Involved in S4 Hana

4. Conversion projects implementation Strong technical skills in all areas of the ABAP workbench including:

List, interactive, & ALV reporting; BAPIs and BDC scripts; SAPscript & SMART Forms; Adobe Forms; Dialog

Programming; User-Exits & Customer Enhancements;

5. Performance Tuning

6. ABAP Objects; Workflow

7. Analyzing ABAP logs/dumps

8. Researching SAP Notes Experience with developing interfaces between SAP and non-SAP applications

9. Experience in support testing and data migration experience, as well as drafting of technical &

functional specification for reports, interface, enhancement, forms and etc Strong functional and

configuration skills in all areas of the HR/HCM modules in various industries

Position Summary

This position is responsible for guiding a team of logistic coordinators associates in the provision of logistics operational functions such as customer service, trucking coordination and the generation and maintenance of operations documents, reports, correspondence and expenses. Assist the Supervisor operations in the daily office activities and communications to customers.

Responsibilities

Primary Responsibilities

• Responsible for the coordination and preparation of all necessary documentation for the movement of warehouse cargo.

• Liaison with trucking contractors for local deliveries.

• Create and maintain reports and files for all operations records, correspondence, plans and expenses.

• Coordinate with operations personnel to ensure readiness of cargo for deliveries.

• Update WMS, TMS on Cargo Status.

• Liaise with customers for all matters pertaining to shipments and deliveries.

• Handle any other ad-hoc / administrative duties.

Qualification Summary

Experience:

This position requires minimum 1 years of relevant experience in Logistics industry.

Education:

Minimum 'O' levels or Diploma in Logistics or Business Administration.

Skills:

• Good working knowledge of the following logistics operations areas – distribution, manufacturing, inventory planning, materials management.

• Good Interpersonal skills

• Good Communication skills

• Good Knowledge in Warehouse Management System (WMS)

• Good customer relationship management skills

• Proficient in MS Word, Excel, Outlook etc

• MNC
• Good Benefits
• Positive Working Culture

Our client is a well-established MNC which is looking to expand the data center business in Singapore and other regions.

Responsibilities

• Identify and engage potential clients in the Data Center sector, actively acquiring new contacts to strengthen relationships.
• Take the lead in addressing global purchase inquiries, ensuring a proactive approach to staying informed about industry trends and market dynamics.
• Strategically expand business into untapped segments, developing and implementing effective market entry strategies.
• Deliver impactful product presentations to influence stakeholders, including owners and consultants, fostering brand recognition.
• Collaborate seamlessly with cross-functional teams, including Engineering, Quality Assurance (QA), and Global Supply Chain (GSC), to efficiently handle inquiries and ensure a cohesive approach to client needs.
• Contribute to continuous improvement by gathering and channeling client and dealer feedback to Engineering, QA, and GSC for refinement of products and services.

Qualifications & Requirements

• Possess a Diploma or Degree in Mechanical or Electrical Engineering or an equivalent field.
• Demonstrate experience in handling distributors, key accounts, and customers.
• Preferably, have 3 years of related experience in genset and data center sales.

Please submit your updated resume here and/ or reach out to Beca Tan (EA: R22110957) and her team at +65 8343 8789 or [email protected] for a confidential conversation.

Talentvis Singapore Pte Ltd | 04C3537

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Career Advisor who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Uncapped, Attractive Sales Incentives

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements

• Coordinate interviews between candidates and clients

• Develop connections and new business and relationship management sources with existing accounts

• Engage in networking and building relationships with business partners and jobseekers

• Ensure that the company's objectives and sales targets are met

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

This is a 12 months contract assigned to our client

Work Location: To be confirmed

Salary Range : $8,000-$10,500

Job Description

Experience in Data migration for medium to large scale projects; profile data, develop data migration and reconciliation approach, lead data mapping activities, govern data model changes, supervise ETL and recon build

Top 3 Must-Have Skills

1. Solutioning and Hands-On Experience in Azure Synapse, Azure Data Factory, and

Power BI (or similar toolset).

2. Basic knowledge of DB2, MSSQL, Cloud Infrastructure, and Security.

3. Experience in troubleshooting and resolving Data migration issues

(e.g. perform analysis of logs to determine ETL failure and provide resolution, perform analysis

of data reconciliation breaks and provide resolution, tuning scripts to improve performance)

4. Experience in managing data cleansing activities; analysis, tracking, and stakeholder management

5. Integrate data from multiple sources to produce requested or required data elements.

6. About 6-8 years’ experience

Good To Have Skills

1. Exceptional written and verbal communication and presentation skills

2. Client consulting and technical leadership experience

3. Proficient with visual data tools like Power BI, Qlik, or Tableau.

4. Demonstrable professional experience with data mining, analysis, and modeling,

of large-scale, complex data set

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities

• Oversee building and data centre facilities components, including Building Management System, Fire Detection and Protection systems, Energy Management System, Chiller, Electrical
• Conduct troubleshooting and maintenance of facility equipment
• Manage contracts for facilities and equipment maintenance
• Prepare monthly SLA reports for equipment uptime, power usage & temperature readings
• Responds to emergency and be on 24x7 standby
• Oversee new data centre projects including renovation and maintenance
• Responsible for site inspections / audits by authorities
• Scheduling and tracking of servicing jobs and vendor management

Requirements

• Educational qualification in Electrical / Mechanical Engineering or equivalent
• At least 1 – 2 years’ relevant experience in DC facility management and vendor management

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg


Interested Applicants
Please WA Bryan Tay @ 97559161
Shortlisted Candidates will be notified

Bryan Tay Reg No. R23112463
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Job Responsibilities

• Study, analyse and understand business requirements in context to business intelligence.
• Design and map data models to shift raw data into meaningful insights.
• Utilize Power BI to build interactive and visually appealing dashboards and reports.
• Ensure data is cleansed, mapped, transformed and otherwise optimised for storage and use according to business and technical requirements.
• Automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.)
• Build data pipelines to collectively bring together data.
• Design and implement written code.
• Test data from source to the presentation layer.
• Support and troubleshoot data pipelines.
• Other responsibilities include extracting data, troubleshooting and maintaining the reporting platform.

Job Requirements

• Bachelor’s degree in Information Technology, Computer Science, Manage Information Science, Banking and Finance or equivalent.
• Min. 5 years of experience in Data Analytics, Realtime data integration and Business Intelligence
• Experience in building and optimising ‘big data’ data pipelines, architectures, and datasets.
• Strong analytic skills related to working with unstructured datasets.
• Experience in Azure data integration tools e.g., Azure Synapse, Azure Data factory,
• Experience in Power BI report delivery.
• Knowledge in traditional ETL.
• Knowledge in financial sector technologies, products and services will be an advantage.
• Able to multi-task in a challenging technical environment to deliver high quality solutions.
• A meticulous team player who has proactive and positive attitude
• Excellent communication, interpersonal and presentation skills

The L1 System Engineer is responsible for: • To provide 24 x 7 support for Data Center running on 12 hours shift • Assisting the Customer in the verification, isolation and/or provision of a temporary work around for the incident/problem logged. • Resolving the incident/problem onsite. • Escalating unsolvable problems and service requests to the System and/or Software Engineer and reporting the escalation to the Project Manager. • Generating the relevant administrative records and reports. • Introducing and integrating new technologies into existing environments. • Applying operating system updates, patches, and configuration changes. • Adding, removing, or updating user account information, resetting passwords, etc. • Answering technical queries • Maintaining the configuration of the system. • To implement Service Request and Change Request • Contacting OEM/Vendor for technical support

•Preferably with Microsoft Certification and/or ITIL certification.
• Good Knowledge of following products will be advantageous:
-Linux
-Unix
-Active Directory/DNS
-Microsoft Azure Stack
-Microsoft Windows 2008-2016
-Commvault Backup and Recovery
-Symantec Endpoint Protection
• ITIL certification will be an advantage.

Please submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

We regret that only shortlisted candidates will be notified.

Summary:
- Islandwide, 5days - 44hours/ week
- Luxury Watch & Skin Care
- Basic up $2000 + Commission, Gross Up $5000
- AWS & Bonus, Fun Working Team

Responsibilities
- Provide excellent customer service while achieving sales target
- Assess customers’ needs and provide assistance and information on product features
- Build productive trust relationships with customers
- Maintain and manage merchandise displays and inventory

Requirements:
- Customer service oriented
- Able to work retail hours (i.e. shift work, public holidays and weekends)

Please submit your updated resume in MS word format by using the APPLY NOW BUTTON.

To Apply, kindly click on the "APPLY NOW" button

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Khor Wan Ying (R22109948)

Join our Commodities and Global Markets business’s Data team, who ensure that our trading business maintains data appropriately with regards to completeness, quality, and timeliness, as well as ensuring it is compliant with global regulations and internal policies.

At Macquarie, we are working to create lasting value for our communities, our clients and our people. We are a global financial services group operating in 34 markets and with 54 years of unbroken profitability. You’ll be part of a supportive team where everyone - no matter what role - contributes ideas and drive outcomes.

What role will you play?

You will be a subject matter expert in Monetary Authority of Singapore’s (MAS) reporting regulations and work closely with Technology, Finance and business stakeholders to determine data requirements, assisting with implementation and testing changes. You will ensure data produced is complete, accurate, valid and relevant and analyse data to identify issues, designing resolutions and writing requirements, and co-ordinating implementation of system and process changes. You will also be supporting a variety of change projects within Commodities and Global Markets to deliver business data to support regulatory reporting requirements.

What you offer

• 10+ years experience in a financial and regulatory reporting role within the Banking industry
• Strong experience with MAS reporting regulations and heavy involvement in projects surrounding regulation changes
• Strong understanding of financial products and end-to-end business processes
• Possess an analytical and innovative mindset and resourcefulness
• Highly numerate with ability to interrogate, interpret and draw conclusions from multiple data sources
• Excellent interpersonal and communication skills.

We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

Benefits

Macquarie employees can access a wide range of benefits which, depending on eligibility criteria and location, include:

• Hybrid and flexible working arrangements
• One wellbeing leave day per year
• Paid parental leave as well as benefits to support you as you transition to life as a working parent
• Paid volunteer leave and donation matching
• Range of benefits to support your physical, mental and financial wellbeing
• Access a wide range of learning and development opportunities
• Employee Assistance Program, a robust behavioural health network with counselling and coaching services
• Recognition and service awards

About Commodities and Global Markets

In Commodities and Global Markets you will be part of a global business offering capital and financing, risk management, market access, physical execution and logistics solutions to its diverse client base.

Our commitment to Diversity, Equity and Inclusion

We are committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply for a role regardless of their identity, including gender, race, ethnicity, cultural identity, nationality, age, sexual orientation, gender identity, intersex status, marital or family status, neurodiversity, religion or belief, disabilities, or socio-economic background.

If you require adjustments to your working arrangements or the recruitment process, please let us know when applying.

Who we are

Decathlon is an international sporting goods creator and retailer with more than 60 in-house brands, sold through more than 1650 stores in 50 countries. Decathlon Singapore is looking for enthusiastic and proactive Data Interns to join our data team and create data-driven solutions relating to retail analytics, consumer analytics and sports analytics. You can expect to hone your data analytics skills and develop your data analytics journey here with us in this sports & retail industry!

What you will do

• Process, clean, and verify the integrity of data used for analysis
• Work in multiple projects to provide analytics insights to different stakeholders to support business decisions
• Design automated tools and dashboards that are user-friendly
• Assist different business units with data queries with SQL
• Apply data analytics and machine learning algorithms to the sports & retail Industry

Time Period

• Able to commit minimally 6 months, with potential conversion to full-time employment
• Able to start June / July 2024 onwards
• Please note that this is a full time internship position. 

Who you are

• Sport enthusiast and actively practicing a sport!
• You take energy in everything that you do; you express vitality and take initiative on your assigned tasks
• Proficiency in Python and SQL is required
• Good communication skills. Comfortable with collaborating cross-functionally – with people from different levels, backgrounds and experiences.
• Experience or coursework in statistical modeling, econometrics, data analysis.
• Experience with Tableau will be an advantage
• Experience with Databricks and Airflow will be an advantage

• Opportunity to work in an international, sporty environment
• Staff discounts across all Decathlon brands

By applying, you consent to the collection, use and disclosure of your personal data in accordance with our Privacy Policy (https://www.decathlon.sg/s/privacy-policy).

KEY ROLES AND RESPONSIBILITIES:

The candidate will be responsible for designing and implementing instrumentation and data acquisition solutions and systems to be deployed on site, ensuring that the solutions are reliable and scalable. The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans. The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

QUALIFICATIONS & EXPERIENCE

· Bachelor degree / Diploma in Engineering, Computer Science or any other related field

· Hands-on implementation experience in instrumentation and data acquisition

· Experience in the domain area / technology / programming languages and Communication/Data protocols

· Experience in code management and deployment

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Recruitment Consultant who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Attractive Incentives

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs.

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements.

• Coordinate interviews between candidates and clients

• Developing connections and new business and relationship management sources with existing accounts.

• Networking and building relationships with business partners and jobseekers

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

PRODUCT AREA

The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

JOB DESCRIPTION

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

ADDITIONAL JOB DESCRIPTION

As Data Center Technician, you'll deploy and maintain Google's Data Center Server and Network Infrastructure by installing, configuring, testing, troubleshooting, and repairing hardware and server software. You'll also take on the configuration of more complex components (e.g., networks, routers, bridges, and switches). You will participate in or lead local project teams on larger installations and develop project contingency plans.

In this role, you will ensure that our goals, missions, and projects are successfully delivered, and, more importantly, that they are repeatable across our global array of data centers. You will move and install equipment, and work with infrastructure to ensure Google Data Center quality and reliability.

Qualifications

JOB RESPONSIBILITIES

• Contribute to efforts/projects in the deployment, maintenance, and support of current and new data center infrastructure.
• Assist in deploying, repairing, and troubleshooting next generation machine learning platforms, providing feedback to local deployment/project teams.
• Participate in complex troubleshooting and resolve critical technical issues. Test and troubleshoot new server and network hardware components and designs.
• Install and maintain switches, routers, and other large-scale networking gear.
• Configure and troubleshoot Linux OS related issues.

MINIMUM QUALIFICATIONS

• Bachelor's degree or equivalent practical experience.
• 1 year of experience with Data Centers, Networking, Communication, Hardware, Technical Troubleshooting, Operating Systems, Teamwork, Scripting, and Python.

PREFERRED QUALIFICATIONS

• Experience working with and troubleshooting hardware or network related issues using Linux-based tools.
• Experience working within a data center or networking operation center environment.
• Experience with maintenance and monitoring of server systems.
• Ability to communicate in English fluently in order to effectively communicate with representatives.
• Ability to lift/move 20 lbs of equipment as needed.

Executive Summary

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications, and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions. As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We are looking to hire a Data Center (DC) Engineer to support Data Center operations for our client in Singapore which is a top global investment bank.

Responsibilities

• Provide hardware support for network, servers, storage, and client owned hardware under direction of client staff.
• Management of the media eradication and dispose process.
• Daily morning check and reporting of equipment hardware status (Visual check).
• Rack & install / removal of physical hardware.
• Installation or upgrade of hardware for servers, parts replacement under direction of client staff.
• Manage spare parts handling for all client installed hardware. Controlling dispatch of faulty parts to contractors and coordinating with contractors for RMA.
• Spare parts inventory management: Manage the inventory of spare parts and its status.
• Equipment management - Management of equipment location in the racks and managing rack layout under direction of client staff.
• Asset management - Labeling and recording of assets, publish changes move / remove / decommission, periodic asset checking.
• Vendor / supplier coordination: Log hardware cases with respective vendor / supplier, manage spare parts & logging the issues and site access management.
• Reporting management – issue daily report / handover document and monthly documents.
• Act as client Representative to escort Company’s vendor / supplier requiring access to the Data Center
• Basic defect testing and analysis of hardware issues including power cycle and simple parts replacement under direction of client staff.
• Access management – Data Center access log tracking / reporting
• Provide support services regionally that is managed by Data Center Management Team within client.
• On-call services – Engineers are expected to be reachable and responsive outside the Coverage Hours whenever there is an emergency incident.
• Upon client request, Engineers are required to provide the outside the normal shift hours.

Position Summary

This position is responsible for guiding a team of logistic coordinators associates in the provision of logistics operational functions such as customer service, trucking coordination and the generation and maintenance of operations documents, reports, correspondence and expenses. Assist the Supervisor operations in the daily office activities and communications to customers.

Responsibilities

Primary Responsibilities

• Responsible for the coordination and preparation of all necessary documentation for the movement of warehouse cargo.

• Liaison with trucking contractors for local deliveries.

• Create and maintain reports and files for all operations records, correspondence, plans and expenses.

• Coordinate with operations personnel to ensure readiness of cargo for deliveries.

• Update WMS, TMS on Cargo Status.

• Liaise with customers for all matters pertaining to shipments and deliveries.

• Handle any other ad-hoc / administrative duties.

Qualification Summary

Experience:

This position requires minimum 1 years of relevant experience in Logistics industry.

Education:

Minimum 'O' levels or Diploma in Logistics or Business Administration.

Skills:

• Good working knowledge of the following logistics operations areas – distribution, manufacturing, inventory planning, materials management.

• Good Interpersonal skills

• Good Communication skills

• Good Knowledge in Warehouse Management System (WMS)

• Good customer relationship management skills

• Proficient in MS Word, Excel, Outlook etc

The Aviation Innovation Research (AIR) Lab

The joint CAAS-Thales innovation lab known as ‘AIR Lab’ started to operate on 1st November 2019 with the objective to develop Proof of Concepts (POCs) or Minimum Viable Products (MVPs) of advanced and open technologies for future Air Traffic Management (ATM). Currently, the joint lab employs a team of 40 Thales engineers and 12 CAAS engineers and air traffic controllers operating in a vibrant ecosystem involving a number of Singaporean SMEs and start-ups, as well as key research institutes.

Thales engineers include 10 domain experts – with more than 10 years of experience – coming from Thales ATM centers of competence in France and Australia. These experts are coaching both the local Thales and CAAS engineers. 

The POCs and MVPs are co-developed with the CAAS engineers who have access to the same development tools and environment used by the Thales Engineers (provided by the Singapore branch of Thales Digital Factory). The POCs and MVPs are defined in collaboration with CAAS air traffic controllers through iterative workshops.

AIR Lab research outcomes will feed the next generation of products, including clearly disruptive outcomes addressing Safety and Security for Open architecture, data driven ATM Twin, Green Aviation, Trajectory Based Operations. 

As the AIR Lab was recently extended for another 3 years, 4 work streams are now embarked: Regional Experimental Platform, FF-ICE/TBO, Green Aviation, Future-proof Interoperable Platform-Agnostic, Safe and Secure Platforms. These work streams are supported by the AIR Lab DataLake platform which provides data transformation and serving services in the cloud.

AIR Lab 2.0 continues to benefit from research conducted in Europe through new architecture research which, among other objectives, aims at meeting much stricter safety standards for ground ATM systems in development by the European Aviation Safety Authority (EASA). This breakthrough architecture study is co-funded by the French government (CASSIOPEA).

Regional Experimental Platform (REP) has been initiated in AIR Lab 1.0 and has the view to addressing regional needs in coordination with the SESAR 3 activities conducted in AMS France.

Who We Are Looking For

As a Cloud Data Architect in AIR Lab, you are seen by the members of your Data team to not only be a pillar of strength but a source of motivation and inspiration as well. You should be someone who enjoys designing, discussing topics around processing patterns like data quality control, streaming SQL, data sources/sinks and data synchronization; streaming-backfill, stream-to-stream joins etc. You should be someone who cares about the quality of the technical implementation and delivery as much as you care about the quality of delivery. You should be someone who enjoys working in a team of diverse people with multiple ethnic and cultural backgrounds. You should be someone who enjoys diving into the technical details of figuring out a problem and be able to communicate the solution back to the team so that the members can learn from it. You should be someone who loves learning new technologies and find innovative ways to apply newfound knowledge and be courageous to encourage fellow team members to be like YOU and enjoy participating in all aspects of engineering activities in the AIR Lab.

Responsibilities:

• Plan, maintain and improve the DataLake cybersecurity posture with regards to data governance and cybersecurity standards by working with other stakeholders (e.g., Data Assessment Office, Cybersecurity Office).
• Plan, maintain and improve the DataLake service levels for reliable data flow, health of infrastructure (i.e., computer and storage).
• Plan, maintain and improve the total-cost of ownership of the DataLake; this activity includes raising efficiencies around FinOps, CloudOps.
• Maintain and improve the architecture transforming data between the DataLake and a distributed search and analytics engine (e.g., ElasticSearch)
• Lead the evolution of the DataLake by conducting the following activities (non-exhaustively) exploring new methods, techniques, algorithms (e.g., data meshes, AI/MLOps infrastructure).
• Plan, maintain the data model, data catalogue (e.g., event data, batched data, persisted, ephemeral).
• Mentor and coach the data team.

• To implement features by defining test, develop feature and associated automated tests. If appropriate, implement security tests and load tests.
• Write and review the necessary technical and functional documentation in documentation repositories (e.g., backstage.io, JIRA, READMEs).
• Work in an agile, cross-functional multinational team, actively engaging to support the success of the team.

Requirements:

Education

• Bachelors in Computer Science or Information Technology
• Master’s degree in Computer Science or Data Science, if applicable

Essential Skills/Experience

• Proficiency in designing, implementing ETL data pipelines (with structured or unstructured data) using the frameworks like Apache Dataflow / Apache Beam, Apache Flink; proficient in deploying ETL pipelines into Kubernetes cluster in Azure cloud either as virtual machines or containerized workloads.
• Proficiency in designing, implementing data lifecycle management using scalable object-storage systems like MinIO (e.g., tiering, object expiration, multi-nodal approach)
• Demonstrated application of working with Continuous Integration and/or Continuous Delivery models; you are expected to be familiar with using Linux (e.g., shell commands)
• Proficiency in distributed source code management tools like GitLab, Github
• With respects to ETL pipelines, you are expected to demonstrate proficiency in the following.
  • pipeline configuration using Gitlab
  • environment management using Gitlab; it’s a bonus if you have demonstrated experience in deployment management (e.g., canary, blue/green rollouts) using Gitlab
• Familiar with cloud deployment strategies to public clouds (e.g., Azure Cloud, AWS, GCP) and Kubernetes using virtualized and containerized workloads (e.g., Kaniko, Docker, Virtual Machine)
• Good communication skills in English

Desirable Skills/Experience

• Working knowledge of designing application with a “shift-left” cybersecurity approach.
• Working knowledge of other languages (e.g., Python, Scala, Go, TypeScript, C, C++, Java)
• Implement event-driven processing pipelines using frameworks like Apache Kafka, Apache Samza
• Familiar with the cloud deployment models (e.g., public, private, community and hybrid)
• Familiar with the main cloud service models: Software as a Service, Platform as a Service and Infrastructure as a Service.
• Familiar with designing and/or implementing AI/MLOps pipelines in public cloud (e.g., Azure, AWS, GCP)

Essential / Desirable Traits

• Possess learning agility, flexibility and pro-activity
• Comfortable with agile teamwork and user engagement

• Salary: Up to $3000 + Completion Bonus
• Contract Duration: 12 Months with Flexi Benefits ($1500)
• Location: West, conveniently located near MRT Station
• Working Hours: Monday to Friday, 8.30am to 5pm

Responsibilities:

• Support daily laboratory operations with enthusiasm and dedication.
• Ensure seamless operations of sensory and skin care labs, including EEG work.
• Assist in sample preparation of test materials to maintain high-quality standards.
• Keep meticulous records of descriptive references for sensory test samples.
• Apply basic statistics for data analysis and contribute to insightful reporting.
• Tackle routine problems related to research projects with a proactive mindset.
• Utilize scientific research and critical thinking skills to conduct, record, and analyze experiments and fieldwork outcomes.
• Formulate cutting-edge skin care prototypes using company ingredients in our state-of-the-art personal care lab to support R&D efforts.
• Conduct thorough literature reviews and database searches to stay at the forefront of cosmetic science.

• Diploma in Perfumery and Cosmetic Science or Food Technology.
• Proven experience in customer-facing roles, showcasing excellent stakeholder management skills.
• Demonstrated expertise in data analysis and preparation of statistical reports.

Join us in revolutionizing the cosmetic science landscape! If you're ready to bring your passion and expertise to the forefront, apply now to be a key player in the innovative team.

Interested candidates can forward their CVs in MS Word format to [email protected]

Reg No. R1983718

Triton AI Pte Ltd

License no. 21C0661