• The Mechanical Engineer will oversee the on-site mechanical systems installation, ensuring that all works are carried out efficiently, meet quality standards, and adhere to project timelines. You will coordinate with the main contractor, consultants, and other subcontractors to ensure smooth project execution.

Key Responsibilities:

• Manage and coordinate the installation of mechanical systems, including HVAC, piping, and fire protection systems, in data centers and critical facilities.
• Ensure all mechanical works are executed according to project specifications, safety standards, and quality requirements.
• Liaise with project managers, consultants, and subcontractors to ensure smooth communication and progress on site.
• Monitor and track work schedules, ensuring timely completion of tasks.
• Provide technical support and resolve on-site issues as they arise.
• Conduct inspections to ensure compliance with safety and regulatory standards.

Qualifications:

• Bachelor’s Degree or Diploma in Mechanical Engineering or a related field.
• Min. 3 years of experience in mechanical engineering, particularly in data centers or critical facilities projects.
• Strong understanding of mechanical systems installation, including HVAC and piping.
• Ability to work closely with site teams, subcontractors, and consultants.
• Excellent problem-solving skills and attention to detail.
• Familiarity with safety regulations and site management.

To Apply, kindly click on the "APPLY NOW" button and job details. We regret that only shortlisted candidates will be notified.

Daniel Lim | Registration Number: R24124455 | AlwaysHired Pte Ltd

EA Licence No: 24C2293

Job Description: Software Developer with DevOps and Data Engineering Expertise

Position: Software Developer
Location: Singapore
Job Type: Contract 12 months

Job Overview:

We are looking for a highly skilled Software Developer with expertise in a broad range of technologies, including Java, .NET, Python, Dynamics CRM, and DevOps. The ideal candidate will have hands-on experience in software development, troubleshooting complex systems, and working with data engineering tools. This role will focus on developing robust and scalable solutions in a hybrid cloud environment, working across diverse technology stacks, and employing modern development methodologies like Agile, TDD, and BDD.

Key Responsibilities:

• Project Delivery:
  • Lead and contribute to software development projects using Waterfall and Agile methodologies.
  • Collaborate with cross-functional teams to deliver high-quality solutions on time.
• Development Expertise:
  • Utilize development skills in Java, .NET, Python, Dynamics CRM, SharePoint, and mobile technologies.
  • Design and implement solutions in cloud or on-premise environments using tools like SSIS and Denodo.
  • Leverage big data engineering tools such as Python, PySpark, and ETL platforms (e.g., Informatica) for large-scale data processing tasks.
• Testing & Quality Assurance:
  • Demonstrate knowledge of automated software testing methodologies, including unit testing, integration testing, functional testing, Test Driven Development (TDD), and Behavior Driven Development (BDD).
  • Collaborate with QA teams to ensure that all software components meet the highest standards of quality.
• Troubleshooting & Debugging:
  • Diagnose and resolve complex issues across various system layers, from system resource allocation to application stack traces.
  • Provide root cause analysis and suggest performance improvements for high-availability, high-performance systems.
• DevOps & Continuous Integration/Continuous Delivery (CI/CD):
  • Implement and manage DevOps pipelines and deployment processes to automate software builds and releases.
  • Use Docker and similar tools to create packaging/build scripts for deployment in hybrid cloud environments.
  • Demonstrate hands-on experience with data virtualization tools like Denodo and deployment automation.
• Data Engineering & Analytics:
  • Design, develop, and optimize SQL queries for data models, analytics, and data warehouse implementations.
  • Use data engineering skills to build and manage data pipelines that process and analyze large datasets in distributed environments.
• Infrastructure & High-Performance Systems:
  • Implement systems with high availability, performance, and security hosted across various data centers or hybrid cloud environments.
  • Ensure solutions are scalable, fault-tolerant, and meet performance and security standards.

Required Skills and Qualifications:

• Strong hands-on experience in Java, .NET, Python, and associated frameworks.
• Proven experience in Dynamics CRM, SharePoint, and Mobile/Cloud-based application development.
• Expertise in software testing methodologies (unit testing, TDD, BDD, etc.).
• Strong SQL and data modeling skills for analytics and data warehouse implementations.
• Experience with big data tools (e.g., Python, PySpark, Informatica) and data engineering processes.
• Hands-on experience with DevOps tools and CI/CD practices.
• Strong understanding of analytics, data warehousing, and virtualization tools like Denodo.
• Excellent troubleshooting and problem-solving skills.

Preferred Skills and Certifications:

• Relevant software development certifications such as Microsoft Certified Solution Developer for Dynamics or equivalent.
• Certified Software Testing Professional (CSTP), Certified Software Quality Analyst (CSQA), or equivalent certifications.
• Experience with high availability, high performance, and secure systems deployment across data centers or hybrid cloud environments.

Education & Certification:

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Relevant certifications in software development, DevOps, and/or data engineering will be an added advantage.

This role is suited for a highly motivated individual with a passion for building scalable, secure, and high-performance software solutions. If you are looking for a challenging opportunity to work with cutting-edge technologies in a dynamic environment, we encourage you to apply.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto’s website (https://www.techaalto.com/privacy/)

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field with at least 5 years of relevant experience.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

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.

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

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.

FMCG MNC

Job Summary:

• Assist the MDT Manager/leaders in the day-to-day operations of the Masterfile team.
• Organizes and collaborates with all commercial businesses to implement and execute master data Standard Operating Procedures and works closely with the leaders on assigned tasks to achieve the company's goals and meeting personal KPIs.
• Responsible for ensuring the accuracy, completeness, and reliability of master data in the system.

Job Description:

• Understand and specialized with various data maintenance
• Ensure accuracy and filing of all maintenance forms
• Ensure Masterfile data is clean and up to date.
• Perform Master Data cleansing on a regular basis
• Handling simple IT related issues feedback from banners and IT helpdesk (within 24 hours)
• Read email promptly and act within 24 hours
• Assist in master file cleanup when necessary
• Training of team members on compliance
• Perform UAT as required
• Other Ad hoc tasks assigned by supervisor/MDT Manager

Requirements:

• Minimum Diploma in Business Administration, Retail or a related discipline
• Proficient in MS Office applications, especially MS Excel (e.g. VLOOKUP, Pivot Table, etc.)
• Dynamic, self-motivated, able to work under pressure, prioritize tasks, and meet tight deadlines
• Strong administrative skills; organized and systematic
• Clear and effective communication skills
• Positive attitude with effective problem-solving abilities and attention to detail
• Fast, accurate, and meticulous
• Eager and willing to learn new tasks and share knowledge with the team

Please contact Terence at +65 9645 4048 your resume directly for fast response.

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tac and the Privacy Policy. If you wish to withdraw your consent, please email us at [email protected]. Please feel free to contact us if you have any queries.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23116141 Le Cong Thang

This is a 12 months contract assigned to our client

Work Location: To be confirmed (during interview)

Salary Range : $5,000-$7,350

Design & Build Enablement

Skillset requirement:

5 Years experience Java (Core & Enterprise)

Java Application Servers (Tomcat & WebLogic) .NET

Well versed Spring, Struts, Sprint Boot framework Hibernate, MyBatis-Plus JPA, REST web services

Well versed in Windows, Linux and/or Unix scripting

Azure integration IIS Oracle database (Core DB &PL/SQL) MSSQL

Good grasp on security fundamentals/PKI Good knowledge of network fundamentals and issue investigation Apache Shiro, MapStruct, Ant Design Vue

Scope of work:

Development SIT/UAT support Implement micro services and enhancements Production support, bug fixes, and enhancements

Support application minor/major upgrade and hardware refresh including sanity test and regression test from system patching and minor/major upgrade

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

Team Introduction:

Finance BP and Business FP&A is a sub-department of Finance. It aims to improve management efficiency, reduce financial exposure, and strengthen budget control by providing business analysis and management reports. The team aims to provide timely, accurate and easy-to-use financial information, provide valuable financial perspective observation and opinions.

We are looking for professional business intelligence and data analysts who will play a critical role in conducting close-loop data-driven business iterations. As business intelligence specialists and data analysts, our scope of work is not limited to just performance monitoring and reporting, but also to proactively finding actionable insights to help drive high-impact business changes. Our end-to-end data solution reduces the gap between the business teams and technical teams, and achieves real ‘intelligence’ in the iteration cycle.

Responsibilities:

1. Understand the logic behind key metrics and indicators, and integrate business and financial data to establish a solid foundation for financial analysis.

2. Understand business logic, abstract key metrics to indicate business issues, and provide systematic solutions for analyzing certain topics.

3. Identify issues and risks, delve into business details, uncover drivers of development, and identify opportunities and business risks.

4. Communicate data findings with clarity and precision, and provide feasible recommendations to support business decision-making.

5. Optimize financial reporting systems based on group financial systems, drive the implementation of optimization solutions, enhance data automation, and design validation logic to ensure data accuracy.

6. Liaise with internal system development, effectively gather and integrate team requirements, produce requirement documents, and drive system development.

Qualifications

Minimum Qualifications:

1. Minimum 5 years of relevant working experience in a similar position. Bachelor's degree or above in Statistics, Data Analysis, Data Science, Financial Engineering, or related fields.

2. Internet or consulting related work experience is preferred. Have a strong desire to pursue a long-term career in finance-related roles.

3. Proficient in SQL, and familiar with data processing tools such as Hive and Spark are advantageous.

Preferred Qualifications:

1. Curious about new areas, able to quickly with business updates

2. Strong communication and coordination skills, with the ability to organize and drive cross-departmental collaboration projects.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Data Administrator
• Working Location: Benoi
• Working Hours: 5 days (9 am-6 pm)
• Salary Package: Basic Salary $2,500 + AWS + PB + Transport Provided
• Duration: Permanent Role

Key Responsibilities

• Verify trailer/prime mover number, model, and company name.
• Check if an inspection is required and whether the customer uses our account or their own.
• Upload before and after repair photos, ensuring all billable items have photos.
• Review all WhatsApp messages to ensure every completed job is accounted for and submitted in Kintone.
• Verify repair/maintenance job scope. If issues are unclear, confirm with workshop workers to avoid preparing incorrect DO.
• List all job scopes from Kintone in the maintenance report.
• Email the maintenance report to the customer and billing department.
• Perform any other ad hoc tasks assigned by your superior.

APPLY NOW!!!

• Minimum ITE qualification.
• Minimum 1 year of experience in data entry or related field.
• Experienced in Kintone is advantageous.
• Excellent communication skills with clients.
• Willingness to learn.

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. Please indicate #68538 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 | Angel Lim | EA Reg No.: R1769781

Location: Global (Remote/On-site)

Position Overview:

We are seeking a highly skilled and experienced Director of Data & AI to lead and grow our AI practice, with a focus on Generative AI solutions for business. The ideal candidate will spearhead the development of innovative AI strategies, manage high-impact client engagements globally, and drive value across multiple industries such as BFSI, Sustainability, Transport, and Healthcare.

As a key leader in the AI space, you will be responsible for overseeing complex AI projects, from inception to execution, while collaborating with cross-functional teams of AI professionals around the world. Your expertise will guide organizations through their AI transformation, focusing on data management, AI platform modernization, and the integration of cutting-edge AI solutions into business operations.

Key Responsibilities:

· Lead the strategic build-out of the AI practice, with an emphasis on Generative AI applications for various business sectors.

· Manage multiple global client engagements in AI and Generative AI, delivering value to industries such as Banking & Financial Services, Sustainability, Transport, and Healthcare.

· Oversee teams of AI professionals in the development and implementation of advanced data solutions, AI models, and machine learning algorithms tailored to client needs.

· Collaborate with leadership to align AI strategies with business objectives and drive long-term growth through innovative AI-driven initiatives.

· Facilitate the modernization of data platforms and architecture to enhance AI capabilities.

· Ensure best practices in data management, security, and compliance across projects.

Requirements:

· Proven experience leading large-scale AI initiatives across diverse industries such as BFSI, Healthcare, and Transport.

· Strong expertise in Generative AI, data platform modernization, and data management.

· Ability to manage and mentor teams of AI and data professionals globally.

· Excellent client relationship management skills with a focus on delivering strategic AI solutions.

· Strong understanding of AI technology trends and the ability to translate these into actionable business solutions.

Qualifications:

· Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

· 10+ years of experience in AI, data management, or related areas, with at least 5 years in a leadership role.

· Demonstrated experience managing AI projects end-to-end, from strategy development to execution.

· Strong business acumen and the ability to interface with senior executives and key stakeholders.

Interested applicants can also email Word formated resume to [email protected]

• Good Base+great benefits!
• Experienced in leading a team, familiar with building CI/CD data pipelines, Git/Docker, Sparks/Hadoop etc
• Great environment to work in!
• Opportunity to work w/ different projects!
• Leading IT Company+friendly & diverse culture!

Our client is one of the leading Technology organisation

Responsibilities:

• Translate data requirements from business users into technical specifications.
• Collaborate with stakeholder’s IT teams on technology stack, infrastructure and security alignment.
• Build out data product as part of a data team
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.
• Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;
• Construct, test, and update useful and reusable data models based on data needs of end users.
• Design and build secure mechanisms for end users and systems to access data in data warehouse.
• Research, propose and develop new technologies and processes to improve agency data infrastructure.
• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.
• Maintain data catalogue to document data assets, metadata and lineage.
• Implement data quality checks and validation processes to ensure data accuracy and consistency.
• Implement and enforce data security best practices, including access control, encryption and data masking, to safeguard sensitive data.

Requirements:

• Bachelor in Computer Science, Information Technology, Software Engineering disciplines are preferred
• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.
• Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.
• Experience in architecting data and IT systems.
• Experience with orchestration frameworks such as Airflow, Azure Data Factory.
• Experience with distributed data technologies such as Spark, Hadoop.
• Proficiency in programming languages such as Python, Java, or Scala.
• Proficiency in writing SQL for databases
• Familiarity with building and using CI/CD pipelines.
• Familiarity with DevOps tools such as Docker, Git, Terraform

Other Information:

• Working Hours: Mon-Fri, 9am-6pm, flexible work hours/hybrid work arrangement & WFH)
• Location: Near Buona Vista MRT

To apply please click on the LOGIN TO APPLY button with the following details inside your resume for faster processing:

• Reason for leaving
• Last drawn Salary
• Expected Salary
• Earliest availability date

We regret only shortlisted candidates will be notified. By submitting any application or résumé to us, you will be deemed to have agreed and consented to us collecting, using, retaining and disclosing your personal information to prospective employers for their consideration.

Jiang Yiang Dong

EA License | 14C7092

EA Registration Number | R1105012

Company Description

ESGpedia is Asia’s leading ESG data and technology company, headquartered in Singapore. The ESGpedia platform powers the ESCAP Sustainable Business Network (ESBN) Asia-Pacific Green Deal digital platform, the Asia-Pacific Single Accesspoint for ESG Data (SAFE) initiative, and the Singapore-Australia Go-Green Co-Innovation Programme. With more than 5 million sustainability data points, ESGpedia serves as the Nexus of ESG, digitally empowering corporates, SMEs, and the financial sector to ensure compliance towards ESG regulations and attain their ESG goals. ESGpedia is GRI-licensed. For more information, please visit www.esgpedia.io.

Job Summary

The data analyst intern will work closely with our Product team and business users on an end-to-end process to generate actionable business insights as part of the ESG solution of our core platform. The intern can expect to learn how to use the latest tools to perform data cleaning and data analytics for the sustainable industry.

Job Responsibilities

Your core responsibilities:

1. Improve the data collection and cleaning methods through automation

2. Identify relationships and correlation between different sustainability/ESG data sets for trend reports

3. Deliver Business Intelligence (BI) dashboards that visualize analytical results

4. Collaborate on LLM (Large Language Model) projects to extract, analyze, and gather data for advanced analytics and reporting tasks.

Requirements

· Strong written and verbal communication skills

· Detail oriented and data driven, strong in problem solving skills

· Proficient with the use of MS Excel, Powerpoint, Word

· Basic coding knowledge, in any language (R, Javascript, Python) is preferred

· Basic coding knowledge of SQL is preferred

What you will need to thrive:

· Value teamwork above all.

· Natural curiosity to learn.

· Loves to work with code.

· Intrinsically motivated personality.

· High adaptability and strong problem-solving skills.

· Customer focused mindset.

· Self-starter who thrives on complexity and independence.

Intern experience sharing
https://www.youtube.com/watch?v=PDNAHrfoCKI

Notice

We regret to inform that only shortlisted candidates will be notified. All applications will be treated with strictest confidence.

By submitting any application or resume to us, you will be deemed to have read and agreed to the terms of our Privacy Policy(https://stacs.io/privacy-policy/), and consented to us collecting, using, retaining and disclosing your personal information to prospective employers for their consideration.

You may refer and access our website(https://stacs.io/) for more information.

Your Mission

This position is responsible for applying data-driven problem-solving, data science, and optimization techniques to resolve real-life manufacturing problems and deploy the ideated solutions in a production environment.

What To Expect

HMGICS is seeking data scientists with a deep interest in solving real-life industrial problems and applying their solutions at scale in a mass-production environment. Candidates should have a technological interest in at least one of the following domains: Data Analytics, Optimization, AI/ML, or Generative AI & LLMs. Additionally, candidates should have a functional interest in at least one of the following areas: logistics, supply chain, assembly, quality, maintenance, or enterprise functions.

• Participate as a data scientist in multi-disciplinary project teams aiming to improve the performance of our production environment in specific areas such as logistics and supply chain, assembly, maintenance, and quality.
• Perform explanatory analytics to understand the key underlying drivers of performance and how to further optimize them.
• Develop and maintain optimization or predictive models as required to assist production in delivering productivity, flexibility, quality, or sustainability improvements.
• Deploy these models in production and train engineers and technicians to leverage the insights for improving their day-to-day performance.

What You'll Bring

• Bachelor's or Master's degree in Industrial Engineering, Computer Science, Mathematics, or equivalent practical experience.
• 6 years of project execution experience as a data scientist, resolving industrial problems across the value chain, including manufacturing, and ensuring the adoption of data science solutions.
• Preferred experience in the manufacturing and/or automotive industry.
• Strongly preferred experience in implementing data science and/or AI projects in real-life industrial environments (large POCs or at-scale deployments).
• Critical end-to-end problem-solving skills, including rapid and rigorous issue analysis, idea development and implementation, and feasibility demonstration and deployment at scale.
• Experience in applying Regression/Classification/Clustering models, Large scale data analysis, Time series analysis, Forecasting models, or Kernel-based methods.
• Experience in algorithm development using Mathematical programming (Linear programming, Mixed-integer programming), (Meta)Heuristic algorithms, Stochastic Process, or Combinatorial Optimization.
• Expertise in processing large-scale datasets in distributed data frameworks (Hadoop, Spark, or Hive).
• Expertise in data mining frameworks such as PyTorch, TensorFlow, Scikit-learn, or MLlib.
• Expertise in applying machine learning, Generative AI, LLMs is a plus.

Location: Global (Remote/On-site)

Position Overview:

We are seeking a highly skilled and experienced Director of Data & AI to lead and grow our AI practice, with a focus on Generative AI solutions for business. The ideal candidate will spearhead the development of innovative AI strategies, manage high-impact client engagements globally, and drive value across multiple industries such as BFSI, Sustainability, Transport, and Healthcare.

As a key leader in the AI space, you will be responsible for overseeing complex AI projects, from inception to execution, while collaborating with cross-functional teams of AI professionals around the world. Your expertise will guide organizations through their AI transformation, focusing on data management, AI platform modernization, and the integration of cutting-edge AI solutions into business operations.

Key Responsibilities:

· Lead the strategic build-out of the AI practice, with an emphasis on Generative AI applications for various business sectors.

· Manage multiple global client engagements in AI and Generative AI, delivering value to industries such as Banking & Financial Services, Sustainability, Transport, and Healthcare.

· Oversee teams of AI professionals in the development and implementation of advanced data solutions, AI models, and machine learning algorithms tailored to client needs.

· Collaborate with leadership to align AI strategies with business objectives and drive long-term growth through innovative AI-driven initiatives.

· Facilitate the modernization of data platforms and architecture to enhance AI capabilities.

· Ensure best practices in data management, security, and compliance across projects.

Requirements:

· Proven experience leading large-scale AI initiatives across diverse industries such as BFSI, Healthcare, and Transport.

· Strong expertise in Generative AI, data platform modernization, and data management.

· Ability to manage and mentor teams of AI and data professionals globally.

· Excellent client relationship management skills with a focus on delivering strategic AI solutions.

· Strong understanding of AI technology trends and the ability to translate these into actionable business solutions.

Qualifications:

· Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

· 10+ years of experience in AI, data management, or related areas, with at least 5 years in a leadership role.

· Demonstrated experience managing AI projects end-to-end, from strategy development to execution.

· Strong business acumen and the ability to interface with senior executives and key stakeholders.

Interest candidates please forward your word formated CV to [email protected]

Zuhlke is at an incredible time of growth. Having seen over 50 years of success in Europe, Zuhlke has brought its top-of-the-line offerings across continents to its Singapore, Hong Kong, and Vietnam offices. Taking the next step in its expansion, the Zuhlke Group announced the opening of a new site in Edinburgh, bringing its network up to 17 offices across 10 countries.

As a Data Consultant in Zuhlke Data & AI Practice in Asia, you will bridge the gap between business and technology, grounded in reality. Ultimately, you play a large part in the success of our Asia office. Your job is to help guide customers often disconnected streams of thought into a cohesive understanding of what their most important goals are, how data and AI can help them achieve this and map it onto a technology stack to support data driven decision making. You will be a trusted advisor for business decision makers embarking on their data journey.

This is a multi-faceted, exciting role where you’ll have a very real impact in establishing our Asia team as a big success story within the Zuhlke Group. This is a fantastic opportunity to accelerate your career with the large amount of responsibility and personal development we will provide.

This is a Singapore-based role and occasional travel may be required.

Your job.

• Working in a consulting capacity, you will develop new business models and processes for and together with customers to pave the way for data-driven developments. You accompany them from the idea to the customised tailored solution through to operation/further development.
• You view AI technologies as tools to enable fact-based decisions, optimize processes or develop new products and services. With this mindset, you recognize the potential of our customers businesses to generate real value with these tools
• In AI projects and programmes, you implement Zuhlke's holistic approach by considering all relevant levels and disciplines such as data platforms, data governance, algorithms and use cases and by moderating the collaboration of relevant experts. This ensures the success of the project and the generation of business value
• You enjoy communicating with decision-makers at our customers - and you like positioning our AI offering and thus actively developing our AI business
• You are active both internally and externally as an ambassador for our discipline AI and further develop our offerings and our expertise. You will position yourself as a thought leader for your special field in AI and help to develop young talent.

Your talent.

• You have at least 10 years of experience and at least 5 years working in IT Services/Consulting.
• You possess the relevant consulting background and are familiar with workshop facilitation, innovation methods and the basics of business models.
• You bring experience across various projects in the areas of Data, Machine Learning and/or Artificial Intelligence.
• You have strong experience in being client-facing. Your experience also demonstrates a track record for strong sales and pre-sales experience as well as overseeing client engagements/projects
• You have significant experience influencing C-Suite decision makers
• You have a strong understanding of the local market and landscape and are great at balancing professionalism with warmth and genuineness
• You enjoy keeping up with the latest technology trends .
• Excellent command of English is a must.

And Zuhlke.

At Zuhlke Asia you get the best of both worlds. You can leverage on the benefits of working in a stable, large, highly reputable company with a long history of success while enjoying the freedom and autonomy of working in a fast-growing start-up environment. Zuhlke offers you networked innovation power and the security of a long-running, international success story. We support your personal development with specialised workshops and active knowledge sharing among experts.

Your Role

As a Lead Data Engineer, you will play a leading role in designing, building, and optimizing our data infrastructure, ensuring that it supports the advanced analytics need of the bank. You will oversee a team of data engineers, working closely with data analysts, DevOps team, infrastructure engineers, and other stakeholders to deliver high-quality data solution.

Your main responsibilities will include:

· Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data.

· Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data.

· Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch.

· Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions.

· Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques.

· 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.

· 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.

· Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps.

· Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank.

Requirements

· Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.

· At least 10 years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments.

· Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Ranger, etc)

· Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes.

· Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java.

· Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)

· Experience with Grafana, Prometheus, Splunk will be an added benefit

· Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges.

· Excellent collaboration and communication skills to work effectively with cross-functional teams.

· Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment.

· Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

Architects and Engineers in AWS work to design resilient, cost effective and sustainable DC facilities. As an Architect at Amazon Asia-Pacific Resources Private Limited (Singapore) (AARPL), you will have the opportunity to impact changes in our current design, as well as establish design procedures and protocols for future systems in Singapore.

The Civil, Structural and Architectural (CSA) design team in AARPL is responsible for the building design of all Amazon DCs in Singapore. The CSA team is seeking a senior Architect to become part of our growing APAC team. As a subject matter expert, you will have a direct impact on the design of prototypical DC facilities in Singapore, provide technical guidance to team members, solve large scale implementation issues, site master planning and build a strong understanding of national and international design requirements.

Key job responsibilities
• Work with the other design and engineering professionals on concepts and build projects.
• Manage a portfolio of data center designs and features.
• Development and maintenance of Basis of Design, prototype design, and template specifications for architectural/civil/structural elements.
• Create architectural/civil/structural design RFPs.
• Manage the work of our external architectural/civil/structural design consultants.
• Coordinate with internal and external MEP design engineers.
• Lead initiatives aimed at improving cost, quality, schedule, and consistency.
• Work on multiple data center build and capital improvement projects simultaneously.
• Travel for site assessments, consultant selection activities, internal design meetings, construction review, and to interface with Authorities Having Jurisdiction (AHJ), design consultants, quantity surveyors, and building owners.
• Anticipated travel not to exceed 25%.
• Perform and present business case analysis.
• Motivated, dependable and capable of working with limited oversight.

Basic qualifications

• Accredited Architecture degree
• 10+ years of Industrial Facilities and 5+ years of experience in design of mission critical facilities.
• Working experience with MEP engineering consultants with working knowledge and experience with large scale mechanical and power systems.
• Vendor and consultant management skills and Solid working proficient with AutoCAD, Revit, Bluebeam, and MS Office Suite.
• Proficiency in building codes, regulations and standards with relevant local councils.

Preferred qualifications

• Master’s degree in Architecture.
• Licensed Architect in an APAC Jurisdiction
• 2+ years of experience in Data Center design.
• Demonstrated ability to evaluate the constructability of new technologies, and determine construction methods of data center equipment and facilities.
• Proficiency in building codes, regulations, and standards across the APAC region.

We are looking for Senior Data Engineer to join Data Engineer team squad. You will be responsible for platform administration, operational support, small change and release management. Larger, more complex changes are delivered by an L3 squad and project teams.

Key Responsibilities:

Release Management and Support activity (~60%):

• Assist the team with Production code deployment and data platform support
• Act as a gatekeeper Production following JERAGM’s change management process.
• Support production data pipelines and reports.
• Provide detailed analysis of data issues in Production with a quick turnaround time.
• On occasion, provide support for applications in Public Holidays and in weekend releases.
• Compile and present monthly Ops reports.
• Help the Data Engineering Manager by sharing evidence based on data-driven analysis.
• Set up security for end users when required.

Data Engineering (~40%):

• Design and deliver data solutions using an agile, iterative approach based on Scrum.
• Develop high quality data pipelines using Spark, Python, SQL and Azure services.
• Collaborate with the Data Engineering Manager on technical architecture and design.
• Analyse and estimate IT changes, providing input on technical opportunities, constraints, and trade-offs.
• Create documentation and present to both technical and non-technical audiences.
• Handover 1st line support to the JERAGM IT Ops teams and 2nd/3rd line support to the L2 squad.
• Conduct detailed testing for development activities and demonstrate results according to the delivery methodology and coding standards.
• Create complex charts and reports using Python libraries, Databricks, and Power BI.

Technical Skills

• 8 plus years of relevant experience.
• Strong proficiency in writing complex SQL Queries, Stored Procedure etc.
• Proficient in Python, or the ability to learn basic Python for the interview process.
• Experience with Azure or a willingness to learn and deepen knowledge of Azure platforms.
• Exposure to Azure Databricks, or an eagerness to gain experience working with Databricks.
• Experience orchestrating data pipelines using Azure Data Factory or SSIS.
• Knowledge of Python packages such as Pandas, Numpy, and Seaborn.
• Understanding of Big Data, MapReduce, Spark, and file formats like Parquet, Avro, and ORC.
• Familiarity with reporting tools such as Power BI or Tableau.

Support:

• Experience in a support role with experience using JIRA or similar tools to track issues and manage them through a small team.
• Experience managing releases under a change control process.
• Experience of communicating with users and other stakeholders.

Software engineering and delivery:

• Source code management e.g. Azure DevOps, Git
• Agile delivery methodologies such as SCRUM or Kanban

Job Description

- Responsible for critical facility operation of Alibaba oversea data centers.

- Responsible for managing the changes on critical systems, responding the emergent failure and tracking preventative maintenance.

- Responsible for capacity management of facility systems including power and cooling, etc.

- Manage availability risk of facility systems and drive the resolution.

- Drive and implement projects to improve the capacity, efficiency and reliability of current facility system.

- Support IT manager (IT) on their project and operations.

- Support design and project teams on new site/data-hall construction and commissioning.

- Establish performance benchmark, conduct analyses, and prepare reports on all aspects of the critical facility infrastructure operations and maintenance.

Minimum Qualifications:

- Bachelors degree in engineering of electrical, mech or related field.

- 3+ years of critical facility management or operation experience in large scale data center or 5+ years large scale production facility management experience in large scale plant.

- Experience and knowledge of MEP equipment such as UPS, generator, Chiller, Pump, cooling tower, etc.

- Good sense of building and maintain a safety and high efficiency working environment in daily work.

- Strong written and verbal communication skill in English.

- High attention to details to identify the risk and drive to resolve them.

- Ability to communicate in Chinese.

Description

• Design, develop, and maintain scalable data pipelines using Spark and Scala to process large datasets.
• Implement and manage Elasticsearch clusters for efficient data retrieval and analysis.
• Collaborate with data scientists and analysts to understand data requirements and provide support for analytical solutions.
• Utilize Quantexa for entity resolution and network analytics to enhance data quality and insights.
• Monitor and optimize data workflows for performance, reliability, and scalability.
• Document data processes and ensure best practices in data engineering are followed.
• Participate in code reviews and contribute to the continuous improvement of our data engineering practices.

Requirements

• Proven experience as a Data Engineer, with a strong focus on Spark and Scala.
• Proficiency in Elasticsearch for search and analytics applications.
• Familiarity with Quantexa or similar tools for data enrichment and entity resolution.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Strong SQL skills and experience with relational databases.

Working Hours: Monday – Thursday (8.30am – 6pm), Friday (8.30am – 5.30pm) (Hybrid working arrangement)

Working Location: One North

Salary Package: Up to $6k

Employment type: Contract

We are seeking a dynamic Data Scientist who is enthusiastic about working on cutting-edge privacy-enhancing technologies (PET). The ideal candidate will be involved in a variety of tasks from researching existing solutions and running experimental analyses to designing practical workflows and contributing to international case studies. This role is perfect for someone who is currently pursuing or has recently completed a degree in a relevant field and is eager to apply their knowledge in AI/ML development to real-world problems.

Key Responsibilities:

• Information Gathering: Conduct thorough research to gather information on existing PET solutions.
• Experimental Analysis: Design and run experiments using AI/ML frameworks to evaluate the efficacy of potential solutions.
• Solution Design: Develop practical, implementable workflows and solutions that can be adopted by various agencies.
• Research Synthesis: Engage in synthesizing research on international case studies and benchmarks; develop materials to guide agency adoption of new technologies.

Qualifications:

• Currently pursuing or have recently completed a bachelor’s degree or diploma in Computer Science, Data Science, or a related field.
• Demonstrable foundation in AI/ML model development, capable of running experiments tailored to user needs.
• Experience with machine learning frameworks and tools such as scikit-learn, TensorFlow, or PyTorch.
• Proficiency in programming languages like Python or R.
• Additional skills in software development (e.g., frontend technologies, backend development with REST APIs) are highly regarded.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data not required at this application stage.
• To withdraw consent, email [email protected].
• All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Wong Siew Ting (Maeve) - Outsourcing Team

ScienTec Consulting Pte Ltd – 11C5781

The Job:

• Gather and input data into databases
• Verify and review data for errors or redundancies, make corrections and check output
• Work with different stakeholders to deliver process improvement and efficiency
• Self-starter to response/ liaison with business units/Vendors on systems enhancement and projects

The Requirements:

• Min GCE A Level/ Diploma Holder with 2-3 years of relevant working experience in the banking industry
• Proficient in MS Office

Interested applicants can send their detailed resumes to [email protected] or call JANE @ 6735 1955.

JANE LUI JIE'EN

CEI: R1104482

Company Reg. No. 199601303W || EA Licence No. 99C4599