＜About the job＞： We‘re seeking AI/ML enthusiasts with experience and skills in working and are passionate about extending AI/ML expertise. The Data Science & AI team of headquarter IT is developing the frontier and practical analytic technologies that enhance the data value. As the AI/ML engineer, you‘ll join the AI/Big Data Analytics program/projects of headquarter IT and assist in building the model/algorithm to empower data-driven & analytics-driven for driving business value from data insights in this world-class company (Fortune Global 500, 22nd).

Design, implement, and maintain robust and scalable data pipelines to ingest, transform, and process structured and unstructured data from various sources.

Build and manage data warehouses and data lakes, implementing efficient data storage and retrieval mechanisms. Design data models that support business requirements and analytics use cases.

Leverage cloud platforms (e.g., AWS, Azure, GCP) to design and deploy scalable data infrastructure, optimizing for performance, cost-effectiveness, and reliability.

Implement data quality checks, validation processes, and data governance frameworks to ensure data accuracy, integrity, and compliance with security standards.

Continuously monitor and optimize data pipelines and infrastructure to improve processing speed, reduce latency, and enhance overall system performance.

Work collaboratively with data scientists, analysts, and other stakeholders to understand their data needs, provide technical expertise, and deliver solutions that meet business objectives.

Support business users by implementing data presentation layer including data visualisation using tools like Tableau, PowerBI etc.

Stay up-to-date with emerging technologies and industry trends in the big data and data engineering space, evaluating and implementing innovative solutions to improve data processing capabilities.

Support the definition and optimization of underlying data infrastructure

＜Job Type Option：＞

Type1: AI/ML Engineer (Engineering-Oriented) (1) Use Machine Learning/Deeping Learning/Analytical techniques to build models for internal different scenarios and requirements. (2) Building the model lifecycle from data exploration to feature engineering to model evaluation and validity analysis capabilities. (3) Execute efficient, scalable, automated processes for model development, model validation, and model implementation (4) Deploy the model to production and maintain/optimize the models by MLOps. (5) Experience in Azure Data Lake, Azure Databricks, and Azure Data Factory is preferred. (6) Experience in AWS SageMaker is preferred. ．Type2: NLP AI Engineer (1) Focused on NLP Algorithm/Machine Learning & Deeping Learning for Text. (2) Develop the Algorithm of NLP(Natural Language Processing)/ Computational Linguistics/Text Mining/Topic Modeling (3) Join the project to build the end-to-end NLP systems, from understanding the requirements to selecting training datasets to model, evaluate, and deliver/deploy NLP models. (4) Fine-tune LLMs and optimize and resolve issues related to LLM usage in production scenarios, enhancing reliability, accuracy, and performance. ．Type3: AI/ML Engineer (Analytics-Oriented) (1)Use Machine Learning/Deeping Learning/Analytical techniques to build models for internal different scenarios and requirements. (2)Build the model lifecycle, e.g., from data exploration to feature engineering to model evaluation and validity analysis capabilities. (3)Execute efficient, scalable, automated processes for model development, model validation, and model implementation. (4)Apply quantitative methods including but not limited to above tasks to solve business problems. (5)Being passionate and patient about working with complex data ＜Skills＞ ．Type1 & 3 : AI/ML Engineer(Engineering-Oriented & Analytics-Oriented) (1)Familiarity with any one of Machine Learning, Statistical Modeling, Deep Learning (Nature Language/Image/Time Series) model/algorithm building of the practical application in the industry. (2) Being familiar with Python Libraries, e.g., Numpy, Pandas, Scikit-Learn, SciPy, Matplotlib, etc. (3)(For Engineering-Oriented) Knowledge of Big Data with Machine Learning/Statistical modeling related technologies such as Spark MLlib or PySpark or SparkR/SparklyR. (4)(For Analytics-Oriented) Knowledge of Deep Learning Framework such as TensorFlow/Caffe/Pytorch/Keras. ．Type 2: NLP AI Engineer (1) Experience with text mining algorithms such as word segmentation, POS tagging, named entity recognition...etc. (2) Experience in algorithms and libraries of NLP(Natural Language Processing), especially in machine learning techniques applied to NLP, such as Text mining, Text classification, Information Extraction, Keyword Tagging, and content discovery. (3) Familiar with one general-purpose programming language (e.g., Python, Java, C/C++) (4) Experience manipulating and integrating unstructured, semi-structured, and structured data. (5) Excellent knowledge and demonstrable experience using open-source NLP packages such as NLTK, Word2Vec, Standford CoreNLP, SpaCy, and Gensim. (6) Knowledge of Open source LLMs, such as BERT, BLoom, LLaMA..., etc., and NLP frameworks, like Hugging Face Transformers, PyTorch /JAX

Good knowledge of the big data technology landscape and concepts related to distributed storage/computing

Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR)

Experience with batch & ETL jobs to ingest and process data from multiple data sources

Experience with NoSQL databases (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)

Experience with querying tools (e.g Hive, Spark SQL, Impala)

Experience with Power BI

Experience or willingness to go in real-time stream processing, using solutions such as Kafka, AWS Kinesis, Flume, and/or Spark Streaming

Experience or willingness to learn about DevOps and DataOps principles (e.g Infrastructure as Code, automating different parts of the data pipeline)

High-level understanding of Data Science concepts and methodologies (how models are built, trained, and deployed)

You are passionate about technology and continuous learning comes naturally to you.

At least 5 years of experience in big data, AI, and cloud technologies, with hands-on experience in cloud platforms (Alibaba Cloud, AWS, Azure, GCP).

Strong technical expertise in big data frameworks (e.g., Hadoop, Spark, Flink) and data analytics.

Proven experience in pre-sales and post-sales engagements, driving customer solutions.

Excellent communication skills and the ability to engage with key stakeholders, including C-level executives.

Ability to collaborate within cross-functional teams and influence product development.

Strong problem-solving skills, innovation, and technical leadership capabilities.

Experience in delivering customized cloud solutions and managing solution implementation risks.

You need to be able to do marketing, business solicitation, socializing and entertainment, and understand the principles and architecture of automobiles.

What's on Offer

• Competitive Salary & Performance-Based Bonuses: Attractive compensation package with the opportunity to earn performance bonuses based on individual and team success.
• Comprehensive Benefits: Health insurance, retirement plans, and other employee wellness benefits.
• Training & Development: Access to continuous professional development and training programs, including certifications in cloud technologies and data-driven solutions.
• Career Growth: Opportunities for career progression within a globally recognized leader in cloud computing and AI.
• Innovative Environment: Work on cutting-edge cloud technologies and high-impact projects in big data and AI across industries such as fintech, retail, and telecom.
• Collaborative Work Culture: Be part of a dynamic, innovative team with a focus on cross-functional collaboration and technical excellence.

1. Operate and maintain manufacturing equipment, such as assembly machines, conveyors, and packaging machinery, to ensure optimal productivity and efficiency.
2. Monitor production processes, identify any issues or deviations from specifications, and take corrective action as necessary.
3. Conduct regular quality checks and inspections throughout the production process to ensure adherence to product specifications and quality standards.
4. Collaborate with cross-functional teams, including engineers and quality control personnel, to troubleshoot equipment malfunctions, resolve production issues, and implement process improvements.
5. Follow standard operating procedures (SOPs) and work instructions to ensure consistent and accurate production outcomes.
6. Maintain accurate production records, including batch records, equipment logs, and quality control documentation.
7. Perform routine preventative maintenance on production equipment to ensure optimal performance and minimize downtime.
8. Adhere to safety protocols and guidelines to maintain a safe working environment.
9. Participate in training programs and stay updated on industry trends and advancements in manufacturing technology.
10. Provide support in other areas of the production process as needed.

Manufacturing Production Technician Required Skills

1. Strong mechanical aptitude and technical skills to operate and troubleshoot manufacturing equipment.
2. Excellent attention to detail and ability to follow precise instructions and procedures.
3. Strong problem-solving and analytical skills to identify and resolve production issues.
4. Ability to work effectively in a fast-paced and dynamic production environment.
5. Good communication skills to collaborate with cross-functional teams and report any production issues or equipment malfunctions.
6. Basic computer proficiency to enter and retrieve data, as well as use production software and systems.
7. Knowledge of lean manufacturing principles and practices is desirable.
8. Familiarity with quality control procedures and techniques.
9. Ability to adapt to changing priorities and work well under pressure.

Required Qualifications

1. Diploma or equivalent. Additional technical certifications or vocational training in manufacturing or related fields is a plus.
2. Proven experience working in a manufacturing environment, preferably as a production technician or a similar role.
3. knowledge of IPC 620 or 610 a plus.
4. Knowledge of manufacturing processes, equipment, and quality control standards.
5. Familiarity with safety protocols and procedures in a manufacturing setting.
6. Ability to lift heavy objects and stand for extended periods.
7. Willingness to work flexible hours, including evenings and weekends, as required.

[Job ID: 829187]

Responsibilities

• Carry out schedule and retrofits automatic door parts; mechanical, electrical and electronic
• Troubleshoot and conduct site check on the automatic entrance and propose parts recommendations for user consideration
• Provide site report to client for the purpose of completion of works, Testing/commissioning
• Decommissioning and conduct risk assessment of all automatic entrance related system and products
• Any other ad-hoc duties assigned

Requirements

• 1-2 years of site Engineering experience (i.e. installation, maintenance)
• Class 3 driving license valid in Singapore

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Please kindly refer to the Privacy Policy of Good Job Creations for your reference:

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EA License no.: 07C5771
EA Personnel Reg. No.: R2094050
EA Personnel Name: Ayumu Matsuki

＜About the job＞： We‘re seeking AI/ML enthusiasts with experience and skills in working and are passionate about extending AI/ML expertise. The Data Science & AI team of headquarter IT is developing the frontier and practical analytic technologies that enhance the data value. As the AI/ML engineer, you‘ll join the AI/Big Data Analytics program/projects of headquarter IT and assist in building the model/algorithm to empower data-driven & analytics-driven for driving business value from data insights in this world-class company (Fortune Global 500, 22nd).

Design, implement, and maintain robust and scalable data pipelines to ingest, transform, and process structured and unstructured data from various sources.

Build and manage data warehouses and data lakes, implementing efficient data storage and retrieval mechanisms. Design data models that support business requirements and analytics use cases.

Leverage cloud platforms (e.g., AWS, Azure, GCP) to design and deploy scalable data infrastructure, optimizing for performance, cost-effectiveness, and reliability.

Implement data quality checks, validation processes, and data governance frameworks to ensure data accuracy, integrity, and compliance with security standards.

Continuously monitor and optimize data pipelines and infrastructure to improve processing speed, reduce latency, and enhance overall system performance.

Work collaboratively with data scientists, analysts, and other stakeholders to understand their data needs, provide technical expertise, and deliver solutions that meet business objectives.

Support business users by implementing data presentation layer including data visualisation using tools like Tableau, PowerBI etc.

Stay up-to-date with emerging technologies and industry trends in the big data and data engineering space, evaluating and implementing innovative solutions to improve data processing capabilities.

Support the definition and optimization of underlying data infrastructure

＜Job Type Option：＞

Type1: AI/ML Engineer (Engineering-Oriented) (1) Use Machine Learning/Deeping Learning/Analytical techniques to build models for internal different scenarios and requirements. (2) Building the model lifecycle from data exploration to feature engineering to model evaluation and validity analysis capabilities. (3) Execute efficient, scalable, automated processes for model development, model validation, and model implementation (4) Deploy the model to production and maintain/optimize the models by MLOps. (5) Experience in Azure Data Lake, Azure Databricks, and Azure Data Factory is preferred. (6) Experience in AWS SageMaker is preferred. ．Type2: NLP AI Engineer (1) Focused on NLP Algorithm/Machine Learning & Deeping Learning for Text. (2) Develop the Algorithm of NLP(Natural Language Processing)/ Computational Linguistics/Text Mining/Topic Modeling (3) Join the project to build the end-to-end NLP systems, from understanding the requirements to selecting training datasets to model, evaluate, and deliver/deploy NLP models. (4) Fine-tune LLMs and optimize and resolve issues related to LLM usage in production scenarios, enhancing reliability, accuracy, and performance. ．Type3: AI/ML Engineer (Analytics-Oriented) (1)Use Machine Learning/Deeping Learning/Analytical techniques to build models for internal different scenarios and requirements. (2)Build the model lifecycle, e.g., from data exploration to feature engineering to model evaluation and validity analysis capabilities. (3)Execute efficient, scalable, automated processes for model development, model validation, and model implementation. (4)Apply quantitative methods including but not limited to above tasks to solve business problems. (5)Being passionate and patient about working with complex data ＜Skills＞ ．Type1 & 3 : AI/ML Engineer(Engineering-Oriented & Analytics-Oriented) (1)Familiarity with any one of Machine Learning, Statistical Modeling, Deep Learning (Nature Language/Image/Time Series) model/algorithm building of the practical application in the industry. (2) Being familiar with Python Libraries, e.g., Numpy, Pandas, Scikit-Learn, SciPy, Matplotlib, etc. (3)(For Engineering-Oriented) Knowledge of Big Data with Machine Learning/Statistical modeling related technologies such as Spark MLlib or PySpark or SparkR/SparklyR. (4)(For Analytics-Oriented) Knowledge of Deep Learning Framework such as TensorFlow/Caffe/Pytorch/Keras. ．Type 2: NLP AI Engineer (1) Experience with text mining algorithms such as word segmentation, POS tagging, named entity recognition...etc. (2) Experience in algorithms and libraries of NLP(Natural Language Processing), especially in machine learning techniques applied to NLP, such as Text mining, Text classification, Information Extraction, Keyword Tagging, and content discovery. (3) Familiar with one general-purpose programming language (e.g., Python, Java, C/C++) (4) Experience manipulating and integrating unstructured, semi-structured, and structured data. (5) Excellent knowledge and demonstrable experience using open-source NLP packages such as NLTK, Word2Vec, Standford CoreNLP, SpaCy, and Gensim. (6) Knowledge of Open source LLMs, such as BERT, BLoom, LLaMA..., etc., and NLP frameworks, like Hugging Face Transformers, PyTorch /JAX

Good knowledge of the big data technology landscape and concepts related to distributed storage/computing

Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR)

Experience with batch & ETL jobs to ingest and process data from multiple data sources

Experience with NoSQL databases (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)

Experience with querying tools (e.g Hive, Spark SQL, Impala)

Experience with Power BI

Experience or willingness to go in real-time stream processing, using solutions such as Kafka, AWS Kinesis, Flume, and/or Spark Streaming

Experience or willingness to learn about DevOps and DataOps principles (e.g Infrastructure as Code, automating different parts of the data pipeline)

High-level understanding of Data Science concepts and methodologies (how models are built, trained, and deployed)

You are passionate about technology and continuous learning comes naturally to you.

At least 5 years of experience in big data, AI, and cloud technologies, with hands-on experience in cloud platforms (Alibaba Cloud, AWS, Azure, GCP).

Strong technical expertise in big data frameworks (e.g., Hadoop, Spark, Flink) and data analytics.

Proven experience in pre-sales and post-sales engagements, driving customer solutions.

Excellent communication skills and the ability to engage with key stakeholders, including C-level executives.

Ability to collaborate within cross-functional teams and influence product development.

Strong problem-solving skills, innovation, and technical leadership capabilities.

Experience in delivering customized cloud solutions and managing solution implementation risks.

You need to be able to do marketing, business solicitation, socializing and entertainment, and understand the principles and architecture of automobiles.

What's on Offer

• Competitive Salary & Performance-Based Bonuses: Attractive compensation package with the opportunity to earn performance bonuses based on individual and team success.
• Comprehensive Benefits: Health insurance, retirement plans, and other employee wellness benefits.
• Training & Development: Access to continuous professional development and training programs, including certifications in cloud technologies and data-driven solutions.
• Career Growth: Opportunities for career progression within a globally recognized leader in cloud computing and AI.
• Innovative Environment: Work on cutting-edge cloud technologies and high-impact projects in big data and AI across industries such as fintech, retail, and telecom.
• Collaborative Work Culture: Be part of a dynamic, innovative team with a focus on cross-functional collaboration and technical excellence.

Our client is a well-established MNC, market leader in the IT industry. Due to their current expansion plan, they are looking for a Presales Consultant to join their team, in hopes of developing the current high performing team. They are located in the West.

Responsibilities:

• Deliver pre-sales technical assistance for specific products to both customers and partners.
• Collaborate closely with the Sales team to develop and position solutions for market readiness and customer proposals.
• Analyze customer IT and business needs.
• Conduct/Provide cybersecurity strategic solution selling, product demonstrations, showcase cybersecurity solutions, and Proof of Concept (PoC).
• Work with solution vendors to develop business proposals, and respond to RFI/RFP requirements.
• Conduct in-house lab tests to validate proof-of-concept setups, network designs, and deployments for new products and features.
• Stay current on competitive solutions, products, and services in the market.
• Offer regular updates on new product developments to internal sales teams.
• All other adhoc duties as assigned.

Requirements:

• Minimum diploma in IT / Cybersecurity or other related field of studies.
• Minimum 1 years’ relevant experience.
• Knowledge on Security Service Edge product is a bonus.

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

We regret that only shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

Responsibilities:

• Engage with stakeholders to translate business requirements into application infrastructure designs and services.
• Ensure designs meet availability, capacity, resiliency, security, and continuity requirements.
• Forecast the budget needed to support project initiatives and maintenance contracts.
• Collaborate with service providers to design, develop, deploy, and configure IT application infrastructure.
• Ensure compliance with government policies, standards, and procedures (e.g., IM8, Agency IT Policies).
• Manage the day-to-day delivery and support of application infrastructure services.
• Work with government agencies and central services teams to facilitate and deliver government-wide application services.

Experience and Skills Needed:

• Degree or Diploma in IT, Computer Science, or related disciplines.
• Minimum of 3 years of relevant working experience.
• Hands-on experience in at least 1 full project development life cycle.
• Ability to take both a strategic and detailed approach to problem-solving and requirements.
• Results-oriented mindset with a focus on customer satisfaction.
• Strong teamwork and organizational skills.
• Excellent communication skills, both written and oral, with the ability to influence stakeholders.
• ITIL v3 Foundation certification (preferred).

Job Description

• Industry/ Organization Type: Security System Service Provider
• Position Title: Project Engineer (IT)
• Working Location: East (Nearest MRT: Tai Seng)
• Working Hours: 5 days (Monday-Friday, 9 am to 6 pm)
• Salary Package: Up to SGD 3500 + Variable Bonus
• Duration: Permanent

Key Responsibilities

• Set up equipment for various systems and conduct testing and commissioning.
• Install electronic systems, including cabling and storage devices.
• Perform troubleshooting, repairs, and preventative maintenance on electronic systems.
• Manage projects and follow up with clients.
• Provide onsite support to diagnose and resolve technical issues.

APPLY NOW!!!

• Min. Diploma in IT or Engineering field
• Min. 1 year of working experience in Project Management or related field
• Familiar with Windows, Word, PowerPoint, Excel, and Access

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 #66287 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 | Celine Tan | EA Reg No.: R1873694

Responsibilities:

• Lead the design and implementation of complex IT infrastructure projects, ensuring alignment with business objectives and government policies.
• Manage relationships with stakeholders and service providers, ensuring the infrastructure meets business and operational requirements.
• Oversee all aspects of infrastructure projects, from requirements gathering to implementation and ongoing support.
• Ensure application infrastructure services meet confidentiality, availability, and data integrity requirements.
• Manage multiple projects simultaneously, ensuring timely delivery within budget and scope.
• Lead collaboration efforts between government agencies and central services teams to ensure seamless service delivery.
• Drive continuous improvement in service quality and operational efficiency.

Experience and Skills Needed:

• Degree or Diploma in IT, Computer Science, or related disciplines.
• At least 5 years of experience in IT infrastructure, with hands-on experience in 3 full project development life cycles.
• Ability to manage large, complex projects and lead teams effectively.
• Strong strategic and business acumen, with the ability to engage and influence senior stakeholders.
• Proven experience in budgeting, forecasting, and financial management for IT projects.
• Strong leadership, communication, and organizational skills.
• ITIL v3 Foundation certification (preferred).

COMPANY DESCRIPTION

Established since 1981, Care Corner Singapore has been a steadfast pillar of support for those in need and the less privileged within our community. Our journey spans over decades, dedicated to making a meaningful difference in the lives of others. At the heart of what we do is our core values of integrity, Compassion, Authenticity, Respect and Excellence as we continuously strive to develop new innovative programmes to support the needs of our community.

At Care Corner, we offer a positive and collaborative work environment that promotes staff wellbeing and believes in the development and growth of our people. We recognise that our employees are our greatest asset.

Join our team and be part of an innovative organisation where every role contributes to making a meaningful difference in the lives of individuals and families. Whether you are an experienced professional or just starting your career, if you are seeking a rewarding opportunity to be part of something bigger than yourself, we invite you to apply today.

Visit us at www.carecorner.org.sg to learn more about our organisation and available opportunities.

RESPONSIBILITIES

JOB DESCRIPTION

The IT Team Lead/Assistant Manager will assist with the conceptualization, proposition, sourcing, implementation, support & upgrade of new or existing IT systems in a timely & cost-effective manner, to support Care Corner's evolving strategy to deliver services more effectively in an increasingly digitalised & connected world.

This role will provide business, technical & administrative support to internal teams, vendors, funders, regulatory bodies and other stakeholders, both for IT system/project implementation as well as day to day IT operations, including contracts and subscriptions, data protection and cybersecurity, as well as end-user support and training.

The IT Team Lead/Assistant Manager will report to the Head of IT and Digitalisation, and may have direct or indirect reports.

RESPONSIBILITIES

Specific responsibilities for this role include:

• Identify, propose and initiate IT projects and activities within Care Corner, involving services, tools and platforms, with quantifiable & significant gains on cost efficiency, process effectiveness, and resource productivity, as well as benefits to the business & operations of Care Corner, while adhering to security and data protection standards.
• Optimize, and automate, where applicable, data design and process flow across various systems to facilitate timely data analytics and planning. Systems include those used in Care Corner as well as those external to Care Corner, such as service provider and government systems.
• Manage systems/project implementation, including timeline, milestones, resource plan, scope of work, budget, and change requests, etc. You will also account for income received and expenditure incurred, as well as process payments, contracts/subscriptions and internal billing, where applicable.
• Source for and engage with vendors to facilitate optimal use/integration of IT solutions, platforms, and services.
• Create, review, revise and enforce policy, best practices and standards for IT systems, services and architecture.
• Support overall Care Corner IT architecture and ensure that it is kept up to date, secure and well documented.
• Provide excellent team leadership and mentoring, including effective communication, team building and coaching.
• Collaborate effectively with colleagues across Care Corner.

REQUIREMENTS

• Tertiary qualification in information technology or equivalent together with significant experience in IT solution design and delivery, and/or project management involving off-the-shelf, SaaS, PaaS, IaaS &/or bespoke solutions.
• Well versed in the system development lifecycles and their relationship to project delivery methods including waterfall and agile.
• Technically sound in one or more of the core components of Care Corner's IT architecture, including but not limited to Microsoft 365, Azure, AWS, Salesforce and Wordpress.
• Strength of character with confidence and credibility with ability to challenge issues and positively influence their resolution, coupled with humility, respect and empathy.
• Demonstrated strong presentation skills, both written and verbal, and the ability to structure and articulate messages effectively to different audiences at all levels.
• Excellent analytical and problem-solving skills, ensuring that the underlying problem is understood, and a robust approach / solution is developed.
• Demonstrated significant experience in people management responsibilities and/or allocation of resources within a department or project environment.
• Highly established communication and stakeholder management skills across a wide range of stakeholders.

Tertiary qualification in information technology or equivalent together with significant experience in IT

Job Description

• Industry/ Organization Type: Manufacturing/Electronic Components and Boards
• Position Title: IT Security Manager (Regional)
• Working Location: Bedok (Company pick-up provided at Bedok MRT)
• Working Hours: 5 Days, Mon – Fri (8:15 am – 5:15 pm)
• Salary: Basic up to $12,000 + Variable Bonus
• Duration: Permanent

Key Responsibilities

• Analyze and prioritize vulnerabilities based on severity, potential impact, and business risk, and collaborate with relevant teams to implement effective mitigation strategies.
• Provide strategic guidance, insights, and direction on technological, cybersecurity, and policy-related topics.
• Lead and participate in the development, implementation, and continuous improvement of incident response procedures, and processes.
• Collaborate with other teams at multiple geographic locations to investigate and document security incidents, root causes, and recommend remediation actions.
• Planning and appraising ongoing assessment of antivirus, application control, firewall, SIEM, VPN, SSL, intrusion detection or intrusion prevention, and other network component policies.
• Managing and configuring security systems such as firewalls, intrusion detection and prevention systems, anti-virus software, and other security-related software and hardware.
• Monitoring systems, servers, and networks to detect and respond to potential security threats or suspicious activities.
• Developing and implementing security policies and procedures that ensure the organization’s data and systems are protected against cyber threats.
• Conduct regular vulnerability assessments and penetration testing to identify potential security weaknesses and risks to make improvements in the organization’s security.
• Report all security incidents to the home office and work with corporate IT on response and resolution strategy.
• Contribute to the development and execution of security awareness training programs for employees to enhance security awareness and best practices.
• Stay up to date with the latest cybersecurity threats, attack techniques, and incident response strategies.

APPLY NOW!!!

• Bachelor’s Degree in Computer Science, IT, or equivalent experience.
• Has 5+ years of experience in a cyber or information security management role.
• Strong knowledge of the latest cybersecurity threats, trends, modern cybersecurity concepts, and technologies (zero trust, CIS Controls, OWASP, MITRE ATT&CK, XDR, CloudSec, AppSec, NIST, ITIL, Azure Well Architected Framework, etc).
• Experience in domains of Cyber Security Operations, Incident Response, Forensic Investigation, Threat Intelligence, or Vulnerability Management preferred.
• Professional information security certification preferred (e.g. CompTIA Security+, CISSP, CISA, CISM).

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #67372 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

• Logging customer interactions and creating support tickets for tracking purposes.
• Escalating unresolved issues or complex problems to higher-level support tiers (e.g., L2 or L3 support) when necessary.
• Effectively research, collect, organise, and disseminate information in a timely fashion.
• Prepare correspondence, memos, reports and other written materials.
• Create documents and materials utilizing Word, Excel, PowerPoint.
• Follow procedures for tracking projects to ensure completion.
• Coordinate service delivery in operational phase.
• Support invoices creation and ensure invoices are processed in a timely manner.
• Maintain complete and updated files and records in accordance with standards of the team.
• Support Business Analyst on data quality issues and reporting.
• Provide administrative and regular support to other departments or CUPPS operation as needed.
• Complete daily paperwork and projects on a timely basis.
• Managing and maintaining office supplies and equipment.
• Responsible for records management task such as collates, updates, and monitor operation support maintenance renewal contract.
• Participates and supports in operations, and any other duties as and when assigned or appointed.
• Prefer candidate to be fluent in English.

Job Descriptions:

● Collect and analyze clients requirements.

● Work in teams to design, test and develop localization and customization of Yonyou ERP and Cloud solutions.

● Plan and manage developing resources and schedule including system configuration, integration testing.

● Conduct review & integration testing to ensure the quality of deliverables before handing over to users for UAT.

● Investigate all reported problems/errors & initiate amendments & testing so that the system can operate correctly & efficiently.

● Solve technical problems during project delivery.

● Document all engagements including the creation of design documents, technical specifications, process documentation, specification, system deployment documents, ERP system integration and interface documents and publish reports.

● Receive training about Yonyou ERP products, industry, and project management.

● Provide pre-sales support from technical perspective, including product &technical solution proposal.

Requirements:

● 3 years of experience in Business applications and cloud solutions, ERP experience

● Graduated in Information Technology, Engineering, and supply chain management.

● Account, Supply Chain Management business knowledge or experience preferred.

● Preferably familiar with SQL query and has experience in DBMS e.g. SQL Server, Oracle will have an advantage.

● Possess strong interest in investigating and identifying causes of issues, and able to propose solutions to rectify the issue

● Excellent problem-solving and analytical skills and good verbal and written communication skills.

● A team contributor who can learn extremely fast, perform under pressure and excel in a fast-paced environment.

● Fluency in both English and Mandarin is required to liaise with English and Mandarin-speaking associates.

● Will be based in Singapore and travel for overseas projects in Southeast Asia

Job Description

1. On-site technical support including the setting up of computer hardware systems, installing and upgrading software, troubleshooting and resolving IT issues, coordination with third party vendors for issue resolution, etc. as per agreed Service Levels.

2. Ensure 100% compliance to within Service Level Agreement objectives (SLA)

3. Accountable for satisfactory resolution with CSAT score >90% for fast and effective support.

Job Requirements

1. Working with end users to find out the nature of the problem.

2. Troubleshooting hardware, software or application issues.

3. Installing and maintaining hardware and computer peripherals.

4. Installing and upgrading operating systems and computer software.

5. Troubleshooting networking and connection issues.

6. Resolving problems and performing IMACs (installs, moves, adds and change) and completing all related administrative duties.

7. Support Security Incident Response

8. Co-ordinate with application support and hardware vendor till issue closure