Job Purpose

• Owns the technology relationships up to CxO level & supports technology thought leadership.
• Being a member of the Architecture Committee in ONE to facilitate AC meetings with internal and external technical stakeholders and SMEs.
• Continuously improve the architecture of Data Analytics Platform for a global ocean shipping company.
• Drives research, case studies, and prototypes on leading-edge technologies and how they can be leveraged.
• Develops proof of concepts (POC’s) to evaluate new technologies and makes recommendations.
• Develops, enhances and enforces ONE system standards, best practices and guidelines.
• Designs and/or Proposes enhancements to improve the performance, availability and reliability of the cloud computing environment for Data Analytics Platform.
• Continuously monitor and improve Data Governance Process.
• Also improve the quality of the Data Analytics service from business users’ perspective.
• Any other ad hoc duties that is assigned by superivors

Primary Job Description

• Accountable for the system architecture of the enterprise-wide Data Analytics Platform.
• Work with internal and external system architects and technicians to keep the architecture of the Data Analytics Platform healthy and elastic.
• Manage the lifecycle of the Data Analytics Platform and maintain plans for the next 5 years.
• Proactively understand the demand from business users and factor them into the architecture enhancement plans.
• Monitor the system performance of the Data Analytics Platform to always meet the service levels.
• Keep the Data Analytics Platform stable and maximize the availability.
• Manage the Processes and Guidelines on Data Governance.

Position Qualifications and Experiences

Experience Requirements:

• Experience to design and implement a modern Data Analytics Platform in Google Cloud and similar BI experiences.

Technical Skills:

• Architect level technical knowledge of relational databases, DataLake and Google Cloud BigQuery
• Architect level technical knowledge of Looker and other BI Tools
• Administrator level knowledge of Collibra or other Data Governance Tool
• Proficiency in Python / Javascript.

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Requirements:

• Required to work in 24 x 7 Data Centre on varied 12 hours shifts including nights, weekends and holidays.
• Proficiency in Microsoft office.

Job Scope:

• Perform physical visitor access request into Data Centre.
• Perform physical equipment movement request in or out of Data Centre. Manage access requests and inventory movements with all necessary approvals & checking that it matches with request.
• Health monitoring of systems via Network Operations Centre dashboards using monitoring tools.
• Escalate issue to relevant parties based on Standard Operating Procedure (SOP) & escalation matrix.
• Perform data backups and ensure it is run on timely basis and manage failed jobs.
• Proper handover of information or task to be passed down to next team during shift handover to ensure smooth transition of outstanding issues or tasks.
• Reports generation (daily/weekly/monthly).
• Monitor patching activities.
• Daily checking of logs to prepare for audit: visitor log, keypress log, staging, storage, DC item log and inventory movements.
• Weekly checking of logs to prepare for audit: CCTV and degauss logs.
• Perform any other task assigned that is related to job requirements

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Permanent, 5.5days (Alternate saturday), Paya Lebar

Product:

Heating, ventilation, air conditioning (Hvac)solution for data center

Our client

MNC in air conditioning and humidification system solution serving high tech industry

Years in business: > 50 yrs worldwide

Area of business: Global

Job scope

- Carry out Hands on service, maintenance, commissioning, troubleshooting, repair of data center Aircon/Hvac/ CRAC (computer room aircon)

-Documentation of pre work risk assessement n post work service reports in a timely manner.

- person in the service office.

- Supervise subcontractors

- Mentor junior technician.

- Adhere to safety sop

Requirements:

- Min Nitec Building Services, Electrical or Mechanical Engineering

- Min 2 years’ experience in the M&E industry

-Proficient with documentation for example, Job method statement, permit to work, risk assessement, maintainence operation protocol

Added advantage:

Data center aircon servicing

Work location :Paya Labar

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

For better response, pls apply via job page

https://recruitmentalliance.zohorecruit.com/jobs/Careers

click job opening, click relevant position

We regret that only shortlisted candidates will be notified.

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

Responsibilities

• Deploy, administer, and support database and data lake infrastructures.
• Formulate and execute plans for high availability, backup, recovery, and disaster preparedness.
• Diagnose and resolve database issues and optimize performance.
• Enforce industry-standard security measures, policies, and best practices.
• Enhance clients' data warehouses and data lakes, and maintain comprehensive documentation.

Requirements

• Proficiency in Database Administration.
• Experience with Linux operating systems and scripting.
• Practical experience with at least one of the following: Hadoop Distributions, Relational Databases, or NoSQL Databases.
• Advantageous knowledge in one or more of the following areas: Data Virtualization tools, Scripting languages, Cloud platforms, and Docker/Kubernetes environments.

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 Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Job Responsible

1) Design, build and maintain data pipelines and architecture in a centralized data lake environment.

2) Enhancements, new development, defect resolution and production support of Big data ETL development using AWS native services.

3) Design and optimize data models on AWS Cloud using AWS data stores such as Redshift, RDS, S3, Athena

Job requirement:

A bachelor degree in a relevant field.

Hands-on experience with data lakes, ETL processes, data modeling, and cloud databases.
• Proficiency in programming languages like Python, Pyspark, R, SQL, or VBA.
• Experience with cloud platforms (AWS CLI, SDK API , Salesforce Service Cloud).
• Experience with automation tools (UiPath, Microsoft Power Automate, PowerApps).

Good communication skills.

About the Team:

The mission of the Marketplace Intelligence and Data team is to build large-scale data and intelligent products to facilitate the growth of Shopee's e-commerce business. This team is responsible for building Shopee's e-commerce data warehouse, development of merchant and operational data products, end-to-end traffic data products, product algorithms (including product listing, control, information optimization, SPU, etc), promotion algorithms (including product recruitment, product selection, and recommendation algorithms), review algorithms, user profiles, as well as fundamental artificial intelligence capabilities such as machine translation, speech algorithms, image algorithms, and KYC verification.

Job Description:

We are looking for a dynamic and experienced Technical Product Management Lead to oversee the development and management of data products and systems that empower Shopee’s marketplace. As a lead in this critical team, you will drive technical project delivery from request planning, competitor analysis, development, testing, UAT, and launch. You will also guide cross-functional teams, and ensure alignment between business goals and technical solutions. The ideal candidate has strong leadership experience and deep domain knowledge in e-commerce, data intelligence, and large-scale product development.

Key Responsibilities:

• Lead a team of Product Managers to define, prioritize, and execute the product roadmap for Shopee's Marketplace Intelligence and Data initiatives.
• Drive end-to-end product development of technical projects, from ideation, data analysis, testing, launch, and iterations.
• Utilize your domain knowledge in e-commerce and data to identify opportunities, solve complex challenges, and shape the future of marketplace intelligence.
• Conduct comparative analysis and market research to identify opportunities, gaps, and areas of improvement for current solutions.
• Manage stakeholders’ expectations and project timelines, maintain good relationships with stakeholders, and deliver projects in alignment with business objectives.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 4+ years of experience in product management, with a focus on technical and data-driven products.
• Proven leadership experience, managing teams or projects in a product management or technical capacity.
• Strong domain knowledge in e-commerce, marketplace operations, data intelligence, and experience in e-commerce, Internet or IT companies.
• Experience working with large-scale data systems, including knowledge of data pipelines, analytics, and machine learning applications.

Location: One Marina

• Performance Management Support: Proactively assist in performance management and company-related activities and administration.
• Global HR Projects: Provide strong support in implementing global HR projects, collaborating with stakeholders across regions.
• System Support Collaboration: Work closely with the system support team and vendors to address employees' requests for performance management system solutions and enhancements.
• Employee Communication: Act as the focal point for handling employee communication and resolving queries.
• Ad-hoc Projects: Participate in and provide support for any ad-hoc projects as required.

Interested applicants may email resume to [email protected]

Jessie Hoe Huey Miin (CEI Registration No: R1103861)

Recruit Express Pte Ltd (EA: 99C4599)

Position Summary / Project Description

The candidate will work closely with MOH stakeholders to develop and maintain MOH technology roadmaps, align workplan demands with Synapxe overall technology roadmaps.

Reports to Director (National Architecture Division) and support the respective Asst Directors; and candidate is also responsible to maintain Enterprise Architecture programmes – architecture blueprints, coordinating across the divisions in MOH and communicating EA framework.

Role and Responsibilities

1. Support the maintenance and management of MOH technology roadmaps and IT masterplan
2. Manage and coordinate requests/queries arising from annual workplan and quarterly business planning activities between CIOs and MOH divisions.
3. Coordinate MOH and Synapxe related activities and asks (in relation to IT technology roadmap / workplanning demands)
4. Align entity demand-workplans with MOH overall technology roadmap and entity’s IT masterplan
5. Coordinate with Entities CIO Office, Master Planning Office, Tech Planning, Workforce Planning, Synapxe delivery teams to ensure integration and coordination on all aspects of planning
6. Maintain oversight of demand - workplan conversion and coordinate with Synapxe delivery team to ensure estimations and resource commitments are aligned to planned dates of workplans
7. Maintain oversight of demand – workplan cancellation / deferment

Requirements / Qualifications

1. Degree in Computer Science, Computer Engineering or equivalent
2. At least 10 to 15 years of relevant hands-on experience in IT project management and application support
3. Experience in development of IT masterplans and roadmaps
4. Experience in coordinating and managing large scale IT work-planning process
5. Possess good understanding of business and IT needs to drive technology roadmap and planning
6. Strong leadership and analytical skills, and ability to work independently and handle ambiguity.
7. Strong leadership, interpersonal skills, and ability to manage diverse groups of stakeholders
8. Experience in healthcare technology industry is an added advantage

Job Description:

• Design Data Pipelines: Develop robust infrastructure to collect, process, and store data from multiple sources.
• Build Data Asset Platform: Create a centralized platform for managing and accessing data assets across the organization.
• Automate SQL Generation: Develop systems to automatically generate SQL queries based on user-defined criteria or business requirements.
• Innovate and Create IP: Contribute to the creation of new intellectual property (IPs) in Singapore in your area of expertise.
• Lead Collaborations: Manage partnerships with academic institutions and research organizations for new technology development.
• Support Overseas Projects: Provide assistance in process development and implementation through short-term overseas assignments.
• Apply AIGC: Utilize AI-Generated Content (AIGC) techniques for data analysis and automation of content creation.
• Ensure Data Quality: Implement strategies to maintain and validate data quality and consistency throughout pipelines.
• Use Cloud Platforms: Deploy and manage data infrastructure on leading cloud platforms such as AWS, Google Cloud, or Azure.
• Implement Automation Tools: Use tools like Apache Airflow, Kubernetes, or Ansible to automate data pipelines and infrastructure management.

Job Requirements:

• Educational Qualifications: Master’s degree with at least 2 years of relevant experience or PhD with at least 1 year of relevant experience in Computer Science, Data Science, Applied Statistics, or related fields.
• Programming Expertise: Proficiency in programming languages such as Python, SQL, Java, or Scala.
• Experience with Data Warehousing & ETL: Solid understanding of data warehousing, ETL processes, and tools like Informatica, Talend, or Airflow.
• Database Management Knowledge: Expertise in relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Cloud and Automation Tools: Experience with cloud platforms and automation tools like Apache Airflow, Kubernetes, or Ansible, and a basic understanding of machine learning.

HOW TO APPLY:

Interested applicants, please click on “Apply Now” and provide the below details in your resume.

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd
EA License No: 19C9950
EA Personnel: Jordan Fung Si Jong
EA Personnel Reg No: R23112945

Job Responsibilities:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• Min. Bachelor degree in Computer Science, Data Science, Machine Learning, or a related field.
• At least 4 years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.
• Excellent communication skills to articulate technical concepts to diverse stakeholders.

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to [email protected] for immediate processing.

Only shortlisted candidates will be notified.

Job Description

· Conduct and analyse market research on commercial-defense products with AI technologies to identify market demand, growth opportunities and competitive threats

· Translate global and regional market intelligence into actionable insights that inform strategic product direction and commercial planning.

· Provide senior leadership with clear, data-driven reports on market trends, customer demands, and emerging technologies that could influence business strategy.

· Ensure compliance for advanced networks, sensors, and AI technologies by managing certification processes and maintaining adherence to industry regulations.

· Develop and optimize pricing strategies for networks, sensors, and AI-based solutions that balance profitability with competitive positioning.

· Lead the development and execution of GTM strategies for advanced networks, sensors, and AI products, targeting both regional and global market penetration.

· Partner with the Product Managers, Marketing and International Business to execute GTM plans that align with customer needs and business objectives.

Requirements

· Bachelor’s degree in Business, Engineering or a related field; advanced degree (MBA or M.S.) or certifications in Digitalisation, AI and Data Science.

· Experience: 5+ years in start-ups or corporate roles in commercial business functions that focused on business model innovation, go-to-market analysis, compliance and commercialisation in the AI, telecommunications and tech sectors.

· Solid understanding of market dynamics and regulatory requirements, with in-depth knowledge of compliance and certification processes relevant to the industry.

· Develop and implement pricing strategies and go-to-market plans.

· Preferred: Proficiency with advanced networks and sensors with AI applications.

· Strong written and verbal communication skills, with experience in delivering markets, business and commercialisation insights and recommendations to senior management.

· Exceptional organizational skills and the ability to manage complex, cross-functional initiatives with multiple stakeholders.

· Leadership: Experience leading teams and fostering collaboration across product, finance, and commercial departments.

· Singaporean only.

· Location: Jurong East / Ang Mo Kio.

Please submit resumes to [email protected]

- 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.

Responsibilities:

• Collaborate with the Head office to understand data governance requirements and ensure timely and accurate delivery of related tasks.
• Review and develop the bank’s data governance policies and procedures in accordance with the Head Office’s policy and regulatory requirement.
• Assist in the development of data quality management framework, including conducting training sessions to facilitate effective implementation and perform periodic reviews with relevant departments to identify and address data quality issue.
• Serve as Business analyst to document the requirements relating to regulatory reporting or data management, and effectively communicate these requirements to IT Department;
• Utilize the internal data visualization tools to assist users in executing data analytics and visualization projects.

Requirements:

• Bachelor or higher degree in Mathematics, Computer Science, Statistics, Data Science or equivalent professional certificates.
• At least 2 years of business analyst or data management experience, experience of data governance in banking industry is preferred
• Knowledge of data governance practices and methodology
• Knowledge of database and SQL programming
• Self-driven, a team player and good coordination
• Strong data related analytical skills with an eye for details
• Good communication skill in English and Mandarin and ability to interact effectively with people at different level.
• Strong business acumen with excellent communication skills

Position Summary:

This position requires in-depth technical understanding and rich practical experience in data security, risk mitigation technology, and R&D engineering. Through the R&D, integration, and implementation of data security engineering, we will implement a data security operation platform for supporting data security operations, privacy and compliance teams to identify, assess, and mitigate risks. The candidate should be familiar with software engineering industry standards and best practices, and be able to effectively collaborate with multiple parties, including Big data team, technology R&D, and other security departments.

Responsibilities:

• Facilitate risk analysis, data security requirements, and technology roadmaps with Tech & security teams, ensuring compliance with industry and regulatory standards (e.g. CCPA, PDPA).
• Collaborate with security teams across regions to develop strategies and execute projects based on compliance and data protection needs to safeguard customer and enterprise data.
• Responsible for the data security engineering and solutions end-to-end, from technical design, R&D development, implementation, and commercial system integration.
• Implement data security operation platforms including data discovery, classification, de-sanitization, compliance control, and leakage prevention.
• Integrate commercial data security tools such as endpoint DLP, cloud DLP, CASB, data discovery and classification, and privacy DSR platform, ensuring alignment with EU data protection regulations.
• Ensure that data security measures integrate seamlessly with company-wide security strategies and contribute to the overall security posture.

Skills and Qualifications:

• Data Security Proficiency: Practical working knowledge of data security solutions including data discovery, classification, de-identification, and leakage prevention using tools such as endpoint DLP, cloud DLP, CASB, and Privacy DSR tooling.
• Software Development Experience: At least 5 years of solid experience in software development, with a preference for expertise in Java.
• Database and Applications: Familiarity with relational databases like MySQL and applications such as Redis, MQ, and Elasticsearch.
• Big Data Technologies: Knowledge of big data related technologies like Flink, Storm, Kafka, etc., is preferred.
• Education Level: Bachelor’s Degree
• Field of Study: Computer Engineering, Computer Science, Information Technology, Cybersecurity, or related fields.
• Certifications: Relevant cybersecurity certifications such as CISSP, CISM, CISA, or PMP are highly desired.

NCS is a leading technology services firm that operates across the Asia Pacific region in over 20 cities, providing consulting, digital services, technology solutions, and more. We believe in harnessing the power of technology to achieve extraordinary things, creating lasting value and impact for our communities, partners, and people. Our diverse workforce of 13,000 has delivered large-scale, mission-critical, and multi-platform projects for governments and enterprises in Singapore and the APAC region.

As a Business Continuity Management (BCM) Consultant, you will be involved in developing, implementing, and maintaining Business Continuity (BC) and Disaster Recovery (DR) programs for the Data Centre. This role requires a proactive professional capable of analyzing risks, creating response strategies, and collaborating with cross-functional teams to ensure organizational resilience in the face of potential disruptions.

What will you do?

• Implement and manage Business Continuity and Disaster Recovery frameworks and infrastructure services complying to BCM standards and best practices.
• Lead the support team members that are key to the successful delivery of the services.
• Manage change to service projects’ scope and schedule to maintain customer satisfaction.
• Understand clients’ business environment and challenges. Applies knowledge to address clients’ issues.
• Apply information gathering methods, tools and techniques, which are appropriate to the information required and sources available e.g. focus groups, structured interviews, design of questionnaires/surveys, observation, statistical analysis, etc.
• Observe and analyse information to identify trends and issues, identifies root causes to problems, employs structured approaches to generate ideas, evaluates and selects actions. Recommends courses of action that are supported by sound rationale, objective facts and research.
• Craft clear, well organised reports/messages/papers and bringing out the value to the customer.
• Manage customer relationship during the projects deliveries through strong governance and communications skills.
• Provide pre-sales support for Request For Proposals by sizing delivery cost, writing of proposals, customized response for bid questions and presentation on Service Projects Implementation to potential customers.
• Ensure that customer projects are completed to a high quality and to the customer’s satisfaction.
• Manage and maintains Recovery Centre’s certifications and audits requirements.

The ideal candidate should possess:

• Bachelor’s degree in Business Administration, Information Technology, Risk Management, or a related field.
• 3+ years of experience in BC/DR, risk management, or a related discipline.
• Experience in a Data Centre Environment
• Strong knowledge of BC/DR standards and frameworks (e.g., ISO 22301,etc.)
• Proven experience conducting BIAs, risk assessments, and plan development.
• Familiarity with crisis management frameworks and incident response protocols.
• Excellent communication and interpersonal skills, with the ability to work across all levels of an organization.
• Proficient in BC/DR software and tools.

We are driven by our AEIOU beliefs—Adventure, Excellence, Integrity, Ownership, and Unity—and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.

Together, we make the extraordinary happen.

Learn more about us at ncs.co and visit our LinkedIn career site.

Data Governance Analyst
Regional Financial Crime Division – APAC Data Governance
MUFG Bank, Ltd

MUFG is seeking a Data Governance Analyst to support the Global Financial Crimes Data Governance program. This role will be instrumental in operationalizing Data Quality Monitoring (DQM) initiatives, improving existing processes, and supporting the strategy and objectives set by the Global Financial Crime Division in Tokyo. The successful candidate will work within the Regional Data Governance team in Singapore to ensure data quality and governance standards are met across the Asia region.

Job Responsibilities:

Governance

• Perform Data Governance BAU activities applicable for the APAC region.
• Review and maintenance of DG Policies & Procedures and Manual.
• Organize Regional and branch working groups, prepare material, and socialize.
• Coordinate and guide FCC teams to right project artifact and teams.
• Document and track action items arising out of from regional and global forums.
• Implement & execute tasks related to Data Governance controls such as Change Management, Periodic Assessments, Data Quality Monitoring, prepare, review KDE, DD, DS etc.
• Assess and escalate any data quality incident identified through Data Quality Monitoring or other DG controls.
• Understand in detail key components of a Data Quality Monitoring system (Data Dictionary, Key Data Elements, Data Lineage, Data Quality business rules.)
• Provide support in creation of monthly and weekly reports/ status updates for regional and global forums on Data governance.

Data Quality Monitoring

• Assist in the Operationalisation of Global DQM program in region. Data Profiling review and analysis
• Execute DQM daily BAU tasks. Analyse weekly/monthly Data Quality (DQ) error reports and categorise DQ errors across different branches within Asia region.
• Prepare monthly DQ error trend report for each of the branches within the region and regional stakeholders.
• Coordinate with branches in a timely manner to seek responses on DQ errors.
• Assist in the ad-hoc data analysis requests and report generation.

Job Requirements:

• Minimum Bachelor’s degree
• Minimum 1 year of working experience with exposure to banking application in terms of core banking data like Customer, Accounts and Transactions
• Proficiency in Microsoft Excel, PowerPoint and Word. Excel, PowerPoint, and Word skills are crucial for data analysis, reporting, and documentation.
• Experience on Data analytics tools like Alteryx and / or hands-on Python/R is a plus.
• Strong technical, analytical, and problem-solving skills
• Experience in data review and remediation in FI/Bank environment is highly desirable.
• Ability to work independently with minimum supervision.
• Ability to work flexible hours from time to time due to time zone differences.
• Effective Stakeholder management and good communication skills.
• Strong ability to meet project milestones and manage time effectively.
• Well organised and disciplined in maintaining operations documentation.
• Willingness to take on ad-hoc tasks as assigned from time to time.

We regret to inform that only shortlisted applicants will be notified.

Job ID: 10068361

This role offers the opportunity to work on cutting-edge ML technologies and contribute to transformative business solutions in a dynamic and collaborative environment.

Job Responsibilities:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• Min. Bachelor degree in Computer Science, Data Science, Machine Learning, or a related field.
• At least 4 years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.
• Excellent communication skills to articulate technical concepts to diverse stakeholders.

Your recruiter for this job: WhatsApp Celine @ 6421 4966 for a quicker response.

Connect with me on LinkedIn: www.linkedin.com/in/your-recruiter-celine-chan

Celine Chan | R21103433

Talentsis Pte Ltd | EA No: 20C0312

Our client

5 days, Permanent, Eunos

MNC for maintaining data center

Job Scope

· To Work with data centre service provider

· To be responsible for (critical facility operation)

· To manage the (preventative maintenance.) on critical systems, responding the emergent failure and tracking

· To be in charge capacity management) of facility systems including (power and cooling), etc.

· .

· projects management for improving the capacity, efficiency and reliability of current facility system.

· Supporting IT manager (IT) n new site team on their project and operations.

Requirement

· Bachelor’s degree in engineering of electrical, mech or related field.

· 6 years facility management experience in large building. OR

· 5 years of critical facility management in data centre or

· 5 years’ experience and knowledge of MEP equipment such as (UPS, generator, Chiller, Pump, cooling tower), etc.

· Bilingual

please email your resume to [email protected]

we regret that only shortlisted candidate will be notified

Responsibilities:

• Govern internal processes to ensure compliance with established security protocols and audit

requirements.

• Assist in managing user access to the AI and data model, ensuring appropriate permissions are

granted and maintained.

• Conduct regular audits of user access and governance processes, identifying and addressing any

discrepancies or issues.

• Work closely with internal team, IT, and business teams to ensure AI and data models are compliant

with governance policies.

• Support the documentation, tracking, and monitoring of AI and data models.

• Assist in the development of training programs and resources to raise awareness of AI and data

governance practices within the organization.

• Stay updated on global trends in AI governance, data protection laws, and best practices, providing

insights to the team.

• Help prepare reports and presentations on AI and data governance metrics and improvements.

Requirements:

• Diploma in AI Governance, Data Science, Information Technology, Law, Ethics, or a related field.

• Basic understanding of AI technologies, data governance, and compliance frameworks.

• Strong analytical and problem-solving skills with attention to detail.

• Good communication skills, with the ability to collaborate effectively across teams.

• Ability to learn quickly and adapt in a fast-paced environment.

To Apply:

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret that only shortlisted applicants would be notified.

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No : R1654858 | Soo Sheng Hui

Job Description

• Being a member of the Architecture Committee to facilitate AC meetings with internal and external technical stakeholders and SMEs.
• Continuously improve the architecture of Data Analytics Platform.
• Develops proof of concepts (POC’s) to evaluate new technologies and makes recommendations.
• Develops, enhances and enforces the company's system standards, best practices and guidelines.
• Designs and/or Proposes enhancements to improve the performance, availability and reliability of the cloud computing environment for Data Analytics Platform.
• Continuously monitor and improve Data Governance Process.
• Also improve the quality of the Data Analytics service from business users’ perspective.
• Accountable for the system architecture of the enterprise-wide Data Analytics Platform.
• Work with internal and external system architects and technicians to keep the architecture of the Data Analytics Platform healthy and elastic.
• Manage the lifecycle of the Data Analytics Platform and maintain plans for the next 5 years.
• Proactively understand the demand from business users and factor them into the architecture enhancement plans.
• Monitor the system performance of the Data Analytics Platform to always meet the service levels.
• Keep the Data Analytics Platform stable and maximize the availability.
• Manage the Processes and Guidelines on Data Governance.

Qualifications and Experiences

• Experience to design and implement a modern Data Analytics Platform in Google Cloud and similar BI experiences.
• Architect level technical knowledge of relational databases, DataLake and Google Cloud BigQuery
• Architect level technical knowledge of Looker and other BI Tools
• Administrator level knowledge of Collibra or other Data Governance Tool
• Proficiency in Python / Javascript.

Soft Skills:

• Excellent communication and interpersonal skills.
• Strong analytical and problem-solving skills.

Interested applicants please send your resume to [email protected]

Venessa Goh Wee Ni

R24124686

Recruit Express Pte Ltd

EA License No: 99C4599

RCB No.: 199601303W

We regret that only shortlisted candidates will be contacted.

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 a Data Center Technician, you will deploy and maintain Google's advanced Data Center Server and Network Infrastructure by installing, configuring, testing, troubleshooting, and repairing hardware and server software. You will 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.

Qualifications

Job responsibilities

• Contribute to efforts/projects in the deployment, maintenance, and support of current and new data center infrastructure.
• Learn and apply skills in repairing and troubleshooting different machine platforms.
• 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.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• Experience diagnosing and troubleshooting one of the following: operating systems and computer/server hardware or networking protocols.
• Experience with performing component-level repairs on IT equipment.
• Ability to lift/move equipment and exert yourself physically over extended periods of time.
• Ability to work non-standard hours, including working weekends, holidays and on shift-based schedule as required.

Preferred qualifications

• Experience in maintenance of server systems.
• Experience working within a data center or network operation center environment.
• Experience with troubleshooting hardware and network issues using Linux tools.
• Knowledge of networking, including topology and protocol.
• Excellent people and communication skills.

The Opportunity:

• Permanent Role
• Working Location: East
• Work hours: Mon to Fri 8:30am - 5:30pm (minimal OT)
• $4500 - $5500 Basic + Moblie Claim + Transport Claim + Bonus

Adecco is partnering with a APAC Leader in Data Center more than 60 years presence in the regions.
Candidate can expect the working culture with open communication and team work dynamics.

The Job:

• Daily Service Operations: Manage cross-connects, remote hand support, and service reporting while ensuring efficient issue tracking and resolution.
• Customer Project Support: Oversee co-location delivery, vendor installations, cabinet placement, and customer site visits for seamless project execution.
• Fault Resolution: Provide effective second-line support and escalate issues as needed to ensure timely resolution of data center faults.
• Leadership & Process Improvement: Lead outsourced operations teams, optimize workflows, and enhance service delivery to improve turnaround times and customer satisfaction.
• Performance Reporting: Deliver timely and accurate management reports on data center performance and operations.

The Talent:

• Diploma/Degree in engineering/facility/operation or technical discipline
• 3-5 years professional working experience in Data Center Service Operation & Facility Management
• Only Singaporeans.

Next Step:

• Interested applicants, please send your resume to [email protected] with your current and expected salary.
• All shortlisted candidates will be contacted.

About the company

CGS International Securities Pte. Ltd. (CGS International) is an award-winning and market leading integrated financial services provider, ranked among the top securities houses in Asia.

CGS International taps on our wealth of global and ASEAN insights to offer equities trading, leveraged products, wealth management, investment banking, equities research, Shariah-compliant financing, fixed income, currency and commodities, structured products and prime brokerage services in over 15 countries and regions.

Along with its parent organisation China Galaxy Securities, a leading securities house in China, CGS International is trusted by more than 15 million customers globally.

Job Description

1) Process Support:

- Keep up to date with latest procedures, forms and templates

- Assist to raise requests, complete forms, obtain approvals, etc. as required by process

- Track timeline and actions according to plan

- Coordinate and follow up to meet timelines

- Organize and file documents

2) Department Asset Inventory Management:

- Document purchases

- Regularly report expiries in advance and expenses against budget

3) Department Budget Record:

- Populate budget items

- Document submitted and approved budget

- Document allocation method and allocation

4) Department Initiative/Program/Project Tracking:

- Document all initiatives, programs, projects

- Record status in regular department meetings

5) Department Visitor Management:

- Manage access and refreshment if required

- Receive and bring visitors to meeting area

6) Department Communication Management:

- Regularly check department mailboxes, emails, tickets to ensure timely response

- Coordinate and schedule department meetings

- Manage and distribute Work From Home/Office schedule

7) Department Reporting:

- Assist in compiling committee and board reports

- Note and remind presenters of reporting schedules

8) Process Improvement:

Constantly look to enhance current process with better tools or methods

Job Requirement

• Proficiency in MS Office (Word, Excel, PowerPoint) and other office software
• Strong written and verbal communication skills
• Good time management and prioritization skills
• Preferably has experience working with cross-geographical teams
• Proven experience as an administrative assistant or similar role
• Diploma or equivalent
• Proactive
• Keen to learn
• Has an eye for detail
• Willing to share and collaborate

about company

I am currently working with a listed Singapore food and beverage company.

Salary structure: Base + AWS. Office at Tuas. 8:30am to 6pm. 2-3 rounds of interview.

about job

• Design and develop machine learning (ML), deep learning (DL), and large language model (LLM) solutions.

• Evaluate and implement appropriate ML/DL/LLM algorithms.

• Transform data science prototypes into production-ready solutions.

• Identify and engineer relevant data sets and features.

• Perform statistical analysis and fine-tune models.

• Train and retrain models as necessary.

• Extend and reuse existing ML libraries and frameworks.

• Engage in data engineering, data visualization, and workflow automation.

skills and requirements

• BSc in Computer Science, Statistics, Mathematics, or a related field.

• Min 3 years of relevant experience in machine learning, AI, and BI domains.

• Proficiency in AI programming, ML/DL/LLM modeling, and statistical methods.

• Strong working knowledge of Python/R, SQL, Big Data, and cloud computing technologies.

• Experience with microservices, containers, API development, and middleware for data extraction

• Familiarity with machine learning frameworks such as scikit-learn, TensorFlow, and Keras.

• Technical skills in BI platforms, Big Data platforms like Hadoop/Spark, and NoSQL databases.

• Experience with BI visualization tools like Power BI.

• Understanding of business requirements and a drive to achieve practical outcomes.

• Knowledge of AutoML, Power Automate, Azure Fabric, and OneLake is a plus.

To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

Highlights:

• Fortune 500 MNC
• Permanent job opportunity
• Great remuneration & benefits
• Great career progression
• Location: Cental

Responsibilities:

• Design and build data pipelines: Create the infrastructure to collect, process, and store data from various sources.
• Develop data assets platform: This platform provides a centralized repository for managing and accessing data assets.
• Implement automated SQL generation: Create tools and processes to automatically generate SQL queries based on user-defined criteria or business requirements. This can involve using techniques like query templates, metadata-driven generation, or machine learning algorithms.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.
• Overseas process development support for short term assignments.

Requirements:

• Masters (w/ min. 2 yrs of relevant working exp./ PhD (w/ min. 1 yr of relevant working exp. (Computer Science / Data Science / Statistics Applied Science etc)
• Programming skills: Proficiency in programming like Python, SQL, Java, or Scala is essential for data manipulation and automation.
• Data Warehousing and ETL: Understanding of data warehousing concepts, ETL (Extract, Transform, Load) processes, and tools like Informatica, Talend, or Airflow.
• Database Management: Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra) is crucial.
• Cloud Platforms: Experience with deploying and managing data infrastructure.
• Data Modelling: Ability to design and implement data models that effectively represent business requirements.
• Data Quality: Understanding of data quality concepts, validation techniques, and tools.
• Automation Tools: Familiarity with tools like Apache Airflow, Kubernetes, or Ansible for automating data pipelines and infrastructure.
• Machine Learning: Basic understanding of machine learning algorithms can be beneficial for certain automation tasks, such as query optimization or anomaly detection.

HOW TO APPLY:

Interested applicants, please click on “Apply Now”or email to [email protected] with provided your latest resume in MS WORD format with below information.

• Last drawn salary
• Expected salary
• Notice period
• Reason for leaving

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Lim Dick Sern (Dick Sern)

EA Personnel Reg No: R22106832

Job Description:

• Oversee the quality of ratings from external vendors and ensure accurate assessment of Hindi content in relevance to media.
• Generate detailed reports that analyze issues, patterns, and trends specific to Hindi media content.
• Use data analysis tools (SQL, Python, Tableau) to identify insights and uncover relevance issues within query logs and metrics.
• Collaborate closely with statisticians, engineers, and data scientists to evaluate and refine search algorithms.

Requirements:

• BA/BS or equivalent industry experience in Business Administration, Business Analytics, or relevant.
• Experience data analysis tools such as SQL, Python, Tableau.
• Familiar with search and recommendations engines.
• Experience analyzing large data sets and generating reports.
• Able to read and write in Hindi (min. B3 in 'O' level Hindi or equivalent certifications) to read, analyze and write content in Hindi.
• Good knowledge of India media such as music and movie industries is required to support the India market.
• Excellent analytical and problem-solving skills.
• Ability to work effectively with teams on multiple projects under tight deadlines.
• Willingness to be proactive in bringing new, innovative ideas to the table.