Enhance Generative AI Accuracy:
1) Build and curate a comprehensive knowledge base to serve as a foundation for the Generative AI model.
2) Evaluate and analyse AI-generated responses to identify areas of improvement and optimize accuracy.

Response Analysis and Evaluation:
1) Identify, analyse, and assess the quality of AI-generated responses, ensuring they align with company standards and customer expectations.
2) Collaborate with the AI Development team to implement necessary adjustments to improve response quality.
Safety Scenario Establishment:
1) Develop and implement safety scenarios to mitigate the risk of inappropriate or sensitive AI responses, maintaining ethical and responsible AI interactions.

Data Set Maintenance:
1) Deconflict and curate data sets across various platforms to ensure a diverse and clean input for the Generative AI model.
2) Regularly update and refine data sets to reflect evolving language trends and user preferences.

Knowledge Base Updates:
1) Perform daily updates to the knowledge base, integrating the latest product information, industry updates, and relevant content.
2) Ensure accuracy and relevance of information provided by collaborating with product owners and subject matter experts.

Demand Analysis:
1) Engage in call listening activities to identify emerging demand topics and customer preferences.
2) Provide insights and recommendations to the AI Project Manager for enhancing AI-generated responses in response to these demands.

Collaboration with Product Owners:
1) Establish effective communication channels with product owners to continuously enhance the knowledge base and refine AI responses.
2) Actively gather feedback and insights from product owners to improve the accuracy and relevance of AI interactions.

Product Knowledge & Call Handling Trained
1) To be trained in Banking Related product knowledge and undergo training to learn how a customer service officer handles a customer over a call.
2) Standby support to be activated on adhoc basis by Workforce Management team to service calls/emails or any other functions deemed to be necessary to maintain Customer Centre’s service levels.

These are the experience and skillsets that we are generally looking for:

• Meticulous and show great attention to detail. (Important)
• Possess an analytical mindset to identify key performance metrics and evaluate the success of Gen AI initiatives. Important)
• Basic understanding of prompt engineering, data pre-processing, and data ingestion techniques in the context of Generative AI systems. (Good to have but not essential)
• Proficient in MS Office (Word, Excel, Project and PowerPoint)

Interested candidates kindly submit your updated CV in a Word Format to: [email protected] shortlisted candidates will be notify. Thank you.

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,200 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.

We are hiring aspiring / proven data engineers to join us.

Location: Central

Roles and Responsibilities:

• Design and develop scalable data pipelines using Databricks, ensuring data integrity and availability.
• Collaborate with stakeholders to understand their data needs and provide solutions.
• Assist users in utilizing Databricks effectively, providing training and support to enhance their data processing and analysis capabilities.
• Monitor and optimize data workflows and queries for performance improvements.
• Implement best practices for data governance, security, and compliance within Databricks environments.
• Document data architecture, pipelines, and processes for knowledge sharing and future reference.
• Troubleshoot and resolve issues related to data processing and Databricks functionalities.

Skills Required:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer with a strong focus on Databricks.
• Proficiency in Python/Pyspark and data modeling techniques.
• Experience with ETL tools and data integration processes.
• Excellent communication skills with the ability to explain complex concepts to non-technical users.
• Experience in providing user support and training is highly desirable.

Information:

• Salary: $2400 - $2800 Basic
• Attendance: $40
• Normal working hours: Mon-Fri, 8am-5pm
• Company transport at various location in the west

Responsibilities:

• Perform sampling incoming quality inspection
• Perform using equipment such as Vernier Caliper, Micrometer, Guages, Profile Projector and Smart Scope

Requirements:

• ITE/Diploma in Engineering
• Entry level

Interested applicants, send in your updated resume by clicking “Apply Now”.

Michelle Koh

EA License No.: 23C1894

EA Personnel No.: R1656105

Objectives of the Role:

• Act as the primary point of contact for all client concerns and needs related to Data & AI engagements.
• Manage large strategic accounts, exceeding $10M, with a focus on growth and client satisfaction.
• Foster and strengthen long-term partnerships with clients by maintaining effective relationships.
• Collaborate with sales and internal teams to develop strategic solutions, ensuring KPIs and business objectives are met.
• Navigate and thrive in the fast-evolving fields of business and technology.
• Deeply understand the company's products and services to identify upsell and cross-sell opportunities.

Key Responsibilities:

• Serve as the primary contact for inquiries and requests from clients, addressing their data and AI-related needs.
• Ensure that client services align with budgets, expectations, and timelines.
• Regularly engage with internal teams to discuss progress, challenges, and strategies for business improvement.
• Prepare and present progress reports to clients and senior leadership.
• Identify upsell, cross-sell, and renewal opportunities, collaborating closely with the sales team.
• Manage the delivery of solutions using industry-standard project management methods.
• Lead discussions on AI & ML use cases, implementation strategies, and business benefits to drive value for clients.
• Ensure all services delivered are of high quality and align with data governance practices, including data quality, data profiling, data cataloging, and metadata management strategies.

Requirements:

• Bachelor’s Degree in Computer Science or equivalent.
• Atleast 8 years of experience in Data & AI with extensive experience in Data Marts, Data Warehouses, Data Lakes and Data Bricks.
• Strong understanding of current trends in AI and Machine Learning (ML), with the ability to guide discussions on AI & ML use cases and advanced analytics implementations.
• Deep technical knowledge of cloud technologies and cloud data platforms (e.g., Microsoft Azure, Google Vertex AI, Amazon Web Services (AWS)).
• Expertise in Data Governance practices, including the development of solutions for Data Quality, Data Profiling, and Metadata Management.
• Ability to multitask effectively and manage several responsibilities simultaneously.
• Excellent communication skills, both written and verbal, with strong organizational and attention-to-detail abilities.
• Experience drafting Statements of Work (SOWs), Proposals, Master Services Agreements (MSAs), and Service Level Objectives (SLOs).
• Demonstrated success in managing client revenue, profit, and loss while ensuring high-value contract wins.
• Experience serving as a trusted advisor to clients, with the ability to build and maintain senior-level relationships.
• Orchestrates the activities between HCL and Clients at various levels – Executives to Technologists
• Finds opportunities to engage the clients in a structured way by building winning Proposals.
• Proactively creates initiatives to share thought leadership.
• Demonstrated leadership by engaging the organization to deliver industry differentiating solutions.
• Plan for resources with the right skills and knowledge for effective engagement on the accounts.
• Manage assigned human resources by leveraging the hire to retire process.
• Knowledge and experience in managing the entire hire-to-retire process for human resources within an account.

Responsibilities

• Perform operation, installation, and monitoring of big data platforms

• Ensure the reliability and normal operation of multiple core systems for big data and online computing, resolving issues within the agreed SLA

• Evaluate infrastructure requirements for deployments and upgrade activities

• Develop and maintain technical documentations related to design, configuration, troubleshooting, backup, DR, etc

• Ensures deployment and operations of the data platform comply with prevailing regulations and audit requirements

• Provide recommendations on data governance practices and in-depth optimizations best practices

Requirements

• Degree / Diploma in Computer Science or related

• Minimally 4 years of experience in Data Engineering

• Solid computer software basic knowledge; understand Linux operating system, storage, network IO and other related principles Familiar with one or more programming languages, such as Python/Go/Java/Shell/Ansible

• Extensive experience with Cloudera Data Platform and its runtime components

• Relevant computing/distributed/big data system experience (Hadoop/HDFS/Nginx/Kubernetes/Docker/OpenStack/Hadoop/Spark/Flink,etc.)

• Good data structure and system design skills highly preferred

• Good knowledge of information security highly preferred

Licence no: 12C6060

Senior Data Engineer

In this role, you can expect to:

● Support the business’s goal of democratisation of data and data products.

● Drive audience and behavioural analytics, as well as key business metrics with associated dashboard and reporting.

● Collaborate in partnership with diverse teams across such as product engineering, data science and business stakeholder teams to successfully deliver business outcomes.

● Work with a mix of cloud infrastructure and open-source technologies to build, scale, and maintain data workloads.

● Work with media industry data practitioners in domains across sales, marketing and advertising, engineering, corporate and ORGANIZATION publications to deliver innovative and game changing data products and use cases.

● Work to design, build and implement data workloads across both high and low volume and velocity of data to support business use cases.

● Implement cloud-based scalable and reliable data pipelines at significant scale.

● Implement reliable and redundant data workloads to provide accurate, easy-to-use and timely data to deliver positive business outcomes.

You should be able to:

● Build and maintain streaming and batch data pipelines

● Build and maintain transactional and analytical data schemas for data lake, data warehouse and data marts.

● Implement Data Analytics and Business Intelligence frameworks to support Enterprise Data needs.

● Adhere to Data Governance policies and implementation from collection to storage and activation of a broad range of data products.

● Utilise data-related languages and frameworks such as Python, Spark, SQL, Hudi, Iceberg.

● Propose Solutions for Data Pipelines, Data Schema and/or Business Intelligence Dashboards and Reports.

● Adhere and have practised Agile Methodology such as Scrum.

● Implement adhering to Master Data Management Best Practices and Principles.

● Understand and Design Data Models following BI Best Practices such as Dimensional Modelling.

It would be great if you had:

● At least 5 years of relevant hands-on experience in cloud-based data engineering, business analyst, or solution architect roles.

● Experience in data-related infrastructure deployments using Terraform Cloud.

● Experience in using Git for version and release management with knowledge in branching strategies.

● Experience in AWS Data and Analytics services such as EMR, Glue, Lambda, Step Functions, Athena, Kinesis, or QuickSight.

● Implementation Experience in Business Intelligence Platforms and Tools such as Tableau, QuickSight.

● Experience in utilising query engines such as Presto on Data Lakes, Data Warehouses and Data Marts.

● Good communication skills for Data and Analytics concepts and methodologies and how they are relevant to your stakeholders.

YOUR ROLE:

The Senior Data Engineer will work on acquiring, storing, governing and processing huge sets of structured / unstructured data. You will bring a vision of the big data solutions landscape for choosing optimal architecture components to use for these purposes as well as a set of data engineering skills for implementing enterprise data foundations such as data lake. Finally, you will work closely with other company experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams to enable intelligence in the digital mesh of our clients and deliver big impact to them.

YOUR RESPONSIBILITIES:

• 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

WHO YOU ARE:

• You hold a Bachelor's, Master's, or Ph.D. degree in IT, Information Management, and/or Computer Science with at least 6 years of experience.
• 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

YOUR ROLE:

The Senior Data Engineer will work on acquiring, storing, governing and processing huge sets of structured / unstructured data. You will bring a vision of the big data solutions landscape for choosing optimal architecture components to use for these purposes as well as a set of data engineering skills for implementing enterprise data foundations such as data lake. Finally, you will work closely with other company experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams to enable intelligence in the digital mesh of our clients and deliver big impact to them.

YOUR RESPONSIBILITIES:

• 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

WHO YOU ARE:

• You hold a Bachelor's, Master's, or Ph.D. degree in IT, Information Management, and/or Computer Science with at least 6 years of experience.
• 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

Responsibilities

• Translate stakeholders’ requirements into data solutions that meet the desired performance, scalability.
• Lead teams in designing and developing data solutions configurations as per the proposed architecture.
• Recommend approaches for solving development and integration problems within data warehouse and business intelligence solutions.
• Provide strategy direction and design implementation roadmaps.
• Identify and adopt new technologies & methodologies to increase performance, automation, and scalability.
• Support the business development activities; shape and design solution architectures for a proposal.

Requirements

· 8 Years Experience in Data modelling, development and implementation.

· Experience in tools like Snowflake,Pyflink is must.

· Experience in Data Migration: Strategizing, planning, costing, execution, data retention/archival and disposal.

· Expert knowldge in Data Management: Strategy & Execution, Multi-domain. Tools: Informatica MDM, Stibo PIM, Talend Data fabric.

· Experience in Data Governance: Data/Information governance capability Assessment (as-is, to-be), Framework design, models, roadmap & Execution.

Interested candidate please click "APPLY" to begin your job search journey.

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

EVO Outsourcing

RCB No. 202233837K

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

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 #66104 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

Job Description:

-Design and implement scalable data pipelines to collect, process, and store large volumes of structured and unstructured data.

-Ensure data quality, integrity, and consistency across various data sources.

-Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.

-Integrate data from multiple sources, including databases, APIs, and third-party data providers.

-Build and maintain big data infrastructure using technologies

-Optimize data storage and retrieval processes to improve performance and reduce costs.

Requirements:
-Bachelor's or Master's degree in computer science, software engineering, or a related field.
-Proven experience as a Big Data Engineer or similar role.
-Experience with big data technologies such as Hadoop, Spark, Kafka, Hive, HBase, etc

-Proficiency in programming languages such as Python, Java, or Scala.
-Strong knowledge of SQL and NoSQL databases.
-Knowledge of machine learning and data analytics.

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

Responsibilities

• Responsible for the operation of the data center.
• Ensure routine building checks are carry out daily.
• Conducts power and water meter readings on a daily basis.
• Escalate all M&E faults, abnormalities/ findings to Lead Technician, Engineer & Facility Operations Manager.
• Update occurrence book for all activities within the day.
• Liaise with customer on troubleshooting on temperature, humidity, power issues within data halls.
• Ensure all contractor and supplier complete the daily permit to work information form and carry all necessary isolation before works are allowed to carry out.
• Participate in HT/LT power shutdown Servicing, fire alarm testing and M&E upgrading works from planning stage to implementation and completion.
• Carry out maintenance work in accordance with maintenance schedule & monitor vendor/supplier in carrying out regular servicing.
• Provide 24X7 support to data center facilities fault & incident, including on-call support.

Requirements

• Minimum 1 year of working experience in managing data center facilities.
• Able to work on shift system.
• Able to communicate with customers.
• Able to write in English (simple).
• Positive attitude & willing to learn.

Senior Data Analyst | $ 6000

RESPONSIBILITIES:

· Data Extraction and Management: Extract and transform data from various sources, ensuring data accuracy, consistency, and reliability. Cleanse data and identify/rectify coding errors. Develop and maintain data pipelines and data models for analyses.

· Data Analysis and Reporting: Analyze large datasets to identify trends, patterns, and anomalies, using statistical techniques and data visualization. Develop and maintain dashboards and reports to track Key Performance Indicators (KPIs). Generate regular and ad-hoc reports, collaborating with stakeholders to meet their reporting needs.

· Insights and Recommendations

· Collaboration and Communication

· Data Governance

· Project Management

· Process Improvement

Requirements:

· Bachelor's degree in any STEM-related disciplines

· Certification(s) in any modern data visualisation platform

· 2-5 years of experience working in a data analyst role, preferably in the healthcare industry

· Proven experience wrangling large datasets and in using data visualization tools such as Tableau or Power BI

· Proficiency in programming languages (Python, SQL) is essential

· Strong understanding of statistical methods and concepts such as hypothesis testing, regression analysis, and classification techniques.

· Experience with the ETL process and machine learning techniques would be advantageous

Interested candidates, please send your CVs on [email protected]

Regret to inform that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275

Position Overview:

We are seeking a visionary and experienced Senior Data Scientist to lead transformative initiatives that leverage Generative AI (GenAI) to enhance software development efficiency, augment data science workflows, and spearhead the development of GenAI agents for Smart Manufacturing. This role offers a unique opportunity to make a significant impact by driving innovation in a global manufacturing environment.

Key Responsibilities:

1. Generative AI Strategy and Implementation

a. Develop and execute strategies to integrate Generative AI tools and techniques into software development processes, improving efficiency and reducing development time.

b. Identify opportunities to augment data science workflows using GenAI, enhancing model development, data analysis, and feature engineering capabilities.

2. Team Leadership and Collaboration

a. Lead and mentor a cross-functional team of data scientists, machine learning engineers, and domain experts to design and implement GenAI solutions.

b. Foster a culture of innovation and continuous learning within the team.

c. Collaborate with stakeholders across engineering, manufacturing, and IT to align AI initiatives with business goals.

3. Pilot Development of GenAI Agents for Smart Manufacturing

a. Design and lead pilot projects to develop GenAI agents that enable smarter, more efficient manufacturing processes, including predictive maintenance, anomaly detection, and process optimization.

b. Evaluate and integrate emerging GenAI technologies to drive scalability and effectiveness in manufacturing applications.

4. Research and Innovation

a. Stay abreast of advancements in Generative AI, machine learning, and related fields to bring cutting-edge solutions to the organization.

b. Publish findings and contribute to thought leadership in the AI community to position the company as an industry leader in AI-driven manufacturing.

5. Data Governance and Ethical AI

a. Ensure compliance with data governance policies, ethical AI principles, and relevant regulations in all AI initiatives.

b. Champion transparency, fairness, and accountability in AI system design and deployment.

Qualifications:

· Education: MS in Computer Science, Data Science, Machine Learning, or a related field, PhD preferred.

· Experience: Minimum of 5 years of experience in data science, with at least 1 year in a role focusing on Generative AI and/or Smart Manufacturing.

· Technical Expertise:

· Proficiency in programming languages such as Python, R, or Java.

· Strong experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face).

· In-depth knowledge of Generative AI models (e.g., GPT, DALL-E, Llama) and their applications.

· Expertise in data engineering, large-scale model training, and deployment.

· Leadership Skills: Proven ability to lead and inspire teams, manage complex projects, and drive cross-functional collaboration.

· Industry Knowledge: Experience in the manufacturing sector is highly desirable, with a strong understanding of smart factory operations and challenges.

Key Competencies:

· Strategic thinking with a focus on delivering measurable business value.

· Strong problem-solving and analytical skills.

· Excellent communication and presentation abilities, capable of articulating complex AI concepts to diverse audiences.

· A passion for innovation and driving change through AI technologies.

What We Offer:

· Opportunity to work on cutting-edge AI projects with significant impact on global manufacturing processes.

· A collaborative and dynamic work environment.

· Competitive compensation and benefits package.

· Professional development and learning opportunities.

Job Duties

• Responsible for delivering BIM implementation to the BIM Execution plan, implementing and enforcing BIM execution
• Creation and maintenance of the software template files to assure standards
• Provide support for plotting and electronic file submissions
• Assist in automating routines in BIM to support standards and productivity
• Provide quality control for completeness and adherence to company standards of all shop drawings produced
• Assist in developing and enforcing BIM Documentation and workflow process standards
• Assist in training and overseeing the day to day activities of the Revit Specialist to ensure BIM standards are maintained in the creation of Revit Model
• Support Project Standards Coordination with Stakeholders
• Assist on project work – modelling and detailing
• Help resolve BIM design issues
• Assist in Managing and distributing coordinated digital documents to the project team
• Linking BIM to Project Construction Administration Phase for Submission, shop drawing and modules
• Any other duties as assigned by the immediate superior

Job Requirements

• Diploma in Electrical, Mechanical or building services engineering.
• Minimum 4 Years experience in Construction, Design, Drafting and Coordination (services)
• At least 2 year of BIM Coordination or BIM Management Experience in a Design, Engineering or Construction firm.

Job Description

• Work closely with data stewards, data analysts and business end-users to implement and support data solutions.
• Design and build robust and scalable data ingestion and data management solutions for batch loading and streaming from data sources using Python.
• Familiar with SDLC process: Requirement gathering, design and development, SIT testing, UAT support and CICD deployment for enhancements and new ingestion pipelines.
• Ensure compliance with IT security standards, policies, and procedures.
  

Skills (must have):

• Possess a degree in Computer Science/Information Technology or related fields.
• At least 5 years of experience in a role focusing on the development and support of data ingestion pipelines.
• Experience with building on data platforms, particularly Snowflake.
• Proficient in SQL and Python.
• Experience in continuous integration and continuous deployment (CICD).
• Experience in Software Development Life Cycle (SDLC) methodology.
• Experience in data warehousing concepts.
• Strong problem solving and troubleshooting skills.
• Strong communication and collaboration skills.
• Able to design, implement solutions and perform code reviews.
• Agile, fast learner, and able to adapt to changes.
  

Job Descriptions (OnSite)

• Ensure all plant & equipment on site are well maintained as per the individual maintenance schedules
• Plan, supervise, and coordinate mechanical work activities to ensure smooth execution. Manage and lead a team of mechanical fitters, technicians, and subcontractors to meet project objectives.Attend to repairs or breakdowns promptly and resolve in a safe manner to ensure downtime and delays to the project are minimized
• Oversee the installation, alignment, and maintenance of mechanical equipment, including pumps, valves, compressors, and piping systems.
• Review and verify technical drawings, specifications, and blueprints to ensure accuracy during execution.
• Inspect completed work to ensure compliance with industry standards, project specifications, and client requirements.
• Address and resolve any quality-related issues promptly
• Prepare and submit daily progress reports, manpower records, and inspection checklists.
• Communicate effectively with project managers, clients, and stakeholders to provide updates and resolve concerns.
• Liaise with the electricians to resolve issues jointly
• Co-ordinate and plan for the correct tools to be available required for the task
• Any ad-hoc duties assigned by the department manager

Skills:

• Strong knowledge of mechanical systems, equipment, and tools.
• Proficiency in interpreting technical drawings, schematics, and manuals.
• Excellent leadership, communication, and organizational skills.
• Ability to troubleshoot and resolve complex mechanical issues efficiently.
• Familiarity with industry codes and standards, such as ASME, API, and ISO.

Job Requirement

• Bachelor Degree in Mechanical Engineering or related certifications
• Mechanical Trade certificates or short courses
• Total Relevant Work Experience: 7-8 Years
• Mechanical understanding relating to infrastrcuture
• Good understanding in reading and interpreting shop drawings
• Can do attitute and able to organise the contractors

Job Description

• Industry/ Organization Type: Wholesaler
• Position Title: Invoice Billing Clerk
• Working Location: Pasir Panjang
• Working Hours: 5.5 days (Mon - Sat, 830am - 530pm; Alternative Saturday)
• Salary Package: Basic salary up to $3,000 + OT + Variable Bonus
• Duration: Permanent Role

Key Responsibilities

• Prepare and send out invoices to clients accurately and promptly
• Collect and process orders from call-in customers, ensuring order details are accurately recorded and communicated
• Monitor outstanding balances and follow up on short credit term customer.
• Assist with reconciling billing discrepancies and resolving issues.
• Maintain accurate records of billing transactions and update customer accounts.
• Collaborate with the accounting team to ensure smooth billing processes.
• Handle customer inquiries related to billing and orders.

APPLY NOW!!!

• Completion of GCE 'O' Level or possess basic accounting knowledge.
• 2 years of experience in a similar role.
• Attention to detail and accuracy in handling financial data.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #71130 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 | Rachael Lee | EA Reg No.: R2093131

Job Description:

As the Expert of his/her scope of activity, he/she:

• is actively involved in incident management (fault investigation, resolution escalations of all monitoring alerts and user initiated problem calls/tickets) and request management
• Is the final technical approver for any changes into Data Security systems and is accountable for any technical changes in the environment from a RUN/BAU perspective
• Is involved in projects like End of Life, New Builds, migrations and technical upgrades of the solution managed by the team
• Participates in global Infra events (like Power down and DR Tests)
• ensures activity is performed in compliance with norms, standards, processes and procedures
• gathering required evidence using multiple forensic tools to investigate any data leak incident, conducting interrogation if required, case closure and reporting
• ensures documentation is up to date and relevant for use
• lead the continuous improvement initiatives
• responsible to drive and deliver root cause for any high severity issues
• Focus on automation and optimum use of the team to improve efficiency
• Maintain appropriate knowledge to ensure to be fully qualified to undertake the role.
• Complete all mandatory training as required to attain and maintain competence

Qualifications:

• Hands-on experience on Symantec Data Loss Prevention (DLP);
• Highly proficient overall security solutions like, Endpoint Protection, Email Security and Vulnerability Management;
• Deployment, integration and administration experience of various components of Symantec DLP:

- Symantec Endpoint Protect

- Symantec Web Prevent

- Symantec Email Prevent

- Symantec Enforce

• Good to have experience in defining, designing and configuring DLP Policies as per the business requirements;
• Deploy, upgrade and troubleshooting knowledge on Symantec DLP solution;
• Deploy, Upgrade and troubleshoot on DAM Solutions like IMPERVA or Guardium
• Expertise knowledge in Email Security Solutions
• Hands-on to Expertise knowledge in MS Defender for endpoint and or Cloud.
• Scripting knowledge (Phyton, Regular Expression, Powershell) is desirable;

Next Step

• Prepare your updated resume and expected package.
• Simply click on 'Apply here' or email to [email protected] to drop your resume
• All shortlisted candidates will be contacted.

Tamanna Bilandi

EA Licence No. 91C2918

Personnel Registration No. R2096241

• Design, develop, and implement methods, processes, and systems to consolidate and analyze unstructured, diverse data sources, providing actionable insights and solutions for management.
• Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from various sources.
• Collaborate with business experts to enrich data and uncover meaningful insights for building actionable solutions.
• Automate repetitive data tasks to streamline processes and reduce manual intervention.
• Create data visualizations to effectively communicate findings and recommendations to stakeholders.
• Stay updated on industry trends and advancements in data science, machine learning, and artificial intelligence.
• Support the Global IFF Business Control team with task and project handling requirements.
• Provide assistance with administrative matters and handle ad-hoc tasks assigned by the Head of Department as needed.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd

EA License No: 20C0270

• Salary Range: $2600 - $2800 + OT + AWS

• Performance Bonus and Attendance Bonus provided

• Working days & hours: 9:00AM – 6:00PM (Monday – Friday)

• Working Location at Ang Mo Kio

• Excellent Welfare & Benefits

• Well Established Network Provider Company

• Aircon Environment

Job Scope

• Responsible for dealing with problems in the delivery process, proactively reporting and timely obtaining solutions in case of problems that cannot be solved independently to ensure the timely flow of orders.
• Responsible for completing all kinds of orders in and out of the warehouse and delivery work on time.
• Responsible for following up the progress of maintenance orders, sorting out and filing and handing over documents, and organizing inventory counting.
• Responsible for the daily work system optimization requirements, solve abnormal problems, optimize work efficiency.

Requirement

• GCE O Level and above
• Training will be provided for candidate without experience

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume:

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

YEOW CHANG FU (R23118759)

EA Recruitment Pte Ltd

EA License No: 21C0492

Data Entry Clerk

• Basic Salary - $1800 to $2100
• Working Days - Mon to Fri + alt sat (8.30am to 5.30pm / 8.30am to 12.30pm)
  Working Location - Penjuru rd (moving to Senoko in 2025)
  transport pickup at Yishun, Sembawang and Marsiling

Jobscopes:

• Order processing
  -to do GR (Goods Receipt) and GI (Goods Issue) in SAP and WMS
• Liaising and co-ordinating with customer
• Performing daily/monthly/quarterly cycle count
• Require to go warehouse for picking, packing & labeling goods
• Any other ad-hoc duties

WhatsApp: https://wa.me/6591044149 (Shermaine)

Siah Sze Ming Reg No: R24125414

The Supreme HR Advisory Pte Ltd EA No: 14C7279

• Well Established Company
• Basic $2500 - $3000 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: West
• Working days: Monday to Friday
• Working hours: 8am – 5.30pm
• Training provided for those without/lesser experience

Job Responsibilities:

• Assisting with, filing, data entry, and recording and maintaining accurate and complete records
• Preparing invoices, and other documents
• Working with bookkeeping software, online spreadsheets, and databases
• Processing transactions, issuing payments, and updating ledgers
• Any other ad hoc duties as assigned

Job Requirements:

• Possess minimum Nitec and/or Diploma in Accounting or equivalent
• Training provided for those without/lesser experience

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

Leong Wei Ling (R23117584)

EA Recruitment Pte Ltd

EA License No: 21C0492

Position: Warehouse & class 3 Driver

Employer Company: Services

Gender: class. 3 driver's license

Salary: basic salary 2500 + 300 transportation allowance, additional performance bonus,

Working hours:

Work 8am-6pm hours a day,

Saturday 8am-1pm

Remark:

1: High emotional intelligence and strong communication skills. Good service attitude, good health, dignified appearance, able to bear hardships and stand hard work, need to lift heavy objects,

Obey the personnel arrangement, the work is to deliver goods, dismantle goods, and be able to communicate well with colleagues in the warehouse to replenish the goods. Read. Write simple Chinese and English,

3: Annual sick leave with the Department of Labor, depending on the performance bonus 13 salary

7. The car cannot be driven back, and it is located near the work address

Work Address: Bukit Batok

whatsapp: 85986715

Jie Shun Jia | EA License No.: 24C2410 | EA Registration No.: R24124440 (FENG YINGJIE)

ARE YOU LOOKING FOR A ROLE THAT REWARDS YOU?

Our Company

We are part of a regional outsource events & marketing company, currently located in certain parts of South Asia. Where we work closely with clients to provide marketing solutions, increases market shares and creating brand awareness.

Our Environment

Here we will provide you a place that fosters innovation, fun and excellence.

You get the freedom to be around people with good vibes, have the time for development and traveling with the company.

Recruiting

We are looking out for potential candidate to join us as Events Sales Representative in our expansion plans.

As long as you are:

• FUN