About the job

As a Machine Learning Data Engineer at CAG, you will be responsible for designing, implementing, and maintaining the data pipelines and infrastructure that support our machine learning projects. You will work closely with data scientists, machine learning engineers, cloud engineer and other cross-functional teams to ensure the availability, reliability, and performance of our data systems. Your role will be critical in enabling the development and deployment of advanced machine learning models that drive key business insights and innovations.

This role requires a blend of technical expertise, project management skills, and the ability to deliver robust, scalable data solutions in a fast-paced environment.

Responsibilities:

1. Architect and implement scalable data solutions to address complex business challenges, leveraging advanced analytics, statistical methods, and machine learning techniques. Apply advanced data preprocessing, transformation, and enrichment techniques to ensure high-quality inputs for machine learning models.
2. Partner with data scientists and ML engineers to translate data requirements into actionable insights, optimizing feature engineering processes and model deployment strategies.
3. Construct and manage modern data infrastructure, including data warehouses and data lakes, to facilitate seamless data access for analysis and model training.
4. Continuously optimize data pipelines for performance, scalability, and cost-effectiveness, considering factors such as data volume, processing speed, and resource utilization.
5. Collaborate closely with DevOps and IT teams to ensure smooth deployment, monitoring, and maintenance of data pipelines in production environments.
6. Work cross-functionally to ensure adherence to data governance, security, and privacy regulations.
7. Stay at the forefront of data engineering and machine learning advancements, driving the adoption of best practices within the team.
8. Mentor junior team members and contribute to the overall data strategy of the organization.

Requirements:

1. Bachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 5 years’ work experience
2. Extensive hands-on experience with cloud platforms, particularly AWS and GCP, including their data services and analytics offerings.
3. Strong coding skills with proficiency in:Infrastructure as Code (e.g., Terraform, CloudFormation)
   Shell scripting
   Python
   SQL
   
4. Deep understanding of big data technologies, distributed computing, and modern data architecture patterns. Proven track record in designing and implementing large-scale data solutions, including data pipelines, data warehouses, and data lakes.
5. Demonstrated ability to successfully deliver projects, meet milestones, and drive initiatives from conception to production.
6. Experience with data streaming technologies (e.g., Kafka, Kinesis) and batch processing frameworks (e.g., Spark, Hadoop).
7. Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
8. Strong problem-solving skills and ability to translate complex business requirements into technical solutions.
9. Excellent communication skills with the ability to collaborate effectively across cross-functional teams.

Overview

With over 18,000 employees worldwide, the Microsoft Customer Experience & Success (CE&S) organization is responsible for the strategy, design, and implementation of Microsoft’s end-to-end customer experience. Come join CE&S and help us build a future where customers come to us not only because we provide industry-leading products and services, but also because we provide a differentiated and connected customer experience.

We are looking for a Cloud Solution Architect (CSA), specializing in Data Security who has a good understanding of the principles of Data Security, such as data classification, encryption, sensitivity labelling, information protection policies and exfiltration controls

This person will be a trusted advisor for customers attempting to secure their entire data estates against internal and external data risk. Microsoft Purview’s integrated Data Security services support customers holistically securing data by:

• Protecting Sensitive Data using data classification, sensitivity labelling and encryption policies.
• Managing Insider Risks using machine learning detection controls and indicators, adaptive protection to dynamically enforce controls and advanced privacy controls
• Preventing Data Loss using built in exfiltration policies for Microsoft 365 apps, services and endpoints.

Responsibilities

Customer Centricity

• Drive positive Customer Satisfaction & become a trusted advisor. Provide feedback & insights from customers/partners. Be the Voice of Customer to share insights and best practices, connect with Global Security teams at Microsoft, Engineering and Product teams to remove blockers and influence the solution roadmap.
• Experience in the implementation (end to end) of Data Security projects with Data Security Platforms, preferably experience with Microsoft Purview (Information Protection, Data Loss Prevention, Information Risk Management)

Accelerate Customer Outcomes

• Share expertise, contribute to IP creation & re-use to accelerate customer outcomes. Run Architectural Design Session to build a plan for implementing the solution – governing design in line with customer business goals and their technical environment. Outcome is consensus on solution design and next steps toward production.
• Collaborate and orchestrate with other CSAs and MS stakeholders including FastTrack, partner, and Microsoft Consulting in developing complex end-to-end Enterprise solutions with the Microsoft Security platform.

Business Impact

• Position and deliver solutions that drive Security product usage and develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments. Identify resolutions to Customer blockers by leveraging SA subject matter expertise.
• Deliver according to MS best practices & using repeatable IP. Accelerate Business Value of overall Security adoption by improving security posture and ensuring that the solution exhibits “Secure by Design” framework, such as high-performance levels, security, scalability, maintainability, appropriate reusability, and reliability upon deployment.

Qualifications

Required/minimum qualifications

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 7+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.

Additional or preferred qualifications

• Desired Microsoft Technology & Industry Equivalent. Certification in one or more of the following areas:Programming experiences, using Microsoft Information Protection SDK (e.g. PowerShell, C#, Python)
  Technical Certification in Microsoft SC-400 – Microsoft Information Protection Administrator)
• 6+ years experience working in a customer-facing role (e.g., internal and/or external). 6+ years experience leading technical projects. Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications).
• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 12+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR
• Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 8+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.

#MCAPSRegionsASEAN

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

- Construction accounting knowledge

- Housekeeping of account by MYOB sytsem and manual

- Handle Company’s accounts and all financial matters like AR and AP, petty cash, payrolls etc

- Any ad-hoc tasks.

- Create and maintain proper indexes for documents filed in records

- Document controlling of site records inspections and reports

- Assist the Project Manager/Project Coordinator in administrating documents, purchase orders and contracts at the site office

- Arrange for supplies to be delivered in a timely manner either to store or on site where required

- Update manpower movement constantly

- Compile the documents according to ISO requirements.

- Assist project team in liaising with HR for related matters.

- Handle with site stationeries ordering.

- Coordinate with site personnel and other related parties to ensure timely and accurate presentation of reports

- Any other duty as and when assigned by the Project Manager and Manager

- Communication in English and Mandarin (in order to liaise with Chinese speaking associate)

Job Description:

• To work with sophisticated audience comprised of surgeons and healthcare professionals.
• To communicate with customer accounts regarding a variety of topics, including product updates, changes to product portfolio, and educational programs
• To Identify the needs of new prospects and develop appropriate responses
• To Cross-sell additional products or manage new product introductions as they become available
• To work with the sales team by receiving coaching, training or mentoring; transfer knowledge to peer Sales Representatives and to Sales Associates when needed.
• To Maintain training in product features/benefits, and other critical business applications
• To Collect competitive data and remain current on industry, customer, and competitive trend
• To Participate in professional association meetings outside of regular business hours, as required

Requirements:

• Must possess at least Degree/Nursing/Lifescience
• Good analytical and questioning skills coupled with ability to develop and implement sales strategies
• Strong in interpersonal, communication and influencing skills
• Able to work independently with minimum supervision

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Duration: 6 months

Location: Tai Seng

Responsibilities

• Support Data Protection Functional Initiatives
• Help coordinate data protection facilitation sessions between consultant and functional teams
• Data Entry to record information during facilitation sessions and meetings
• Prepare powerpoint slides for management meetings
• Compliance Monitoring and Reporting
• Monitor and ensure countries complete data protection related reports
• Prepare reports on data protection activities and compliance status
• Documentation and Record-Keeping
• Maintain accurate and up-to-date records, trackers of progress / status
• Assist in documenting data protection and other compliance-related activities
• Stakeholder Collaboration
• Work closely with IT, Legal, HR, Operations, Commercial, Finance, Customer Service, etc. departments to ensure data protection requirements are met
• Support in answering questions related to Data Protection program

Requirements

• Degree
• Basic understanding of data protection regulations and principles preferred
• Highly organized and ability to meet deadlines
• Project management skills – ability to handle multiple projects and key stakeholders across functions
• Excellent written and verbal communication skills
• High attention to detail and accuracy
• Ability to work independently and as part of a team
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint is a must)
• Self-starter mentality who is result-oriented
• Open to entry level candidate with relevant intership experience in data protection, compliance or related field (For Junior position)

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.

https://go.persolkelly.com/job/apply/9501

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

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: R23117066 (CHEW KIA ZHENG)

DESCRIPTION

Amazon's Legal Department is looking for a talented real estate lawyer to fill the position of Corporate Counsel – Real Estate and Colocation supporting Amazon Web Services (AWS), a dynamic and rapidly growing business within Amazon.com. AWS is at the forefront of the "cloud" computing and service industry, providing IT infrastructure services such as on-demand compute capacity, storage, content delivery, database services, and more.

Key job responsibilities
As part of the AWS real estate and colocation legal team, you will be responsible for supporting AWS's APJ data center expansion through land acquisitions, leases and licenses with services agreements. You will have transactional drafting and negotiating responsibilities on deals, and will provide legal counsel and contract interpretation to business team members on a daily basis. Transactions range from standard contracts to complex, bespoke, high value agreements. You will have excellent communication skills, organizational skills, and an eagerness to work closely with and be a trusted advisor to your business partners. In this role, you will structure, draft and negotiate agreements, help support AWS real estate and colocation’s existing portfolio, manage outside counsel, and advise internal business clients. In addition, you will help develop, implement, and manage process improvements across the team, resolve legal issues that arise in existing commercial relationships, and handle pre-litigation legal disputes and inquiries.
The successful candidate must be enthusiastic, enjoy working hard and being challenged, and demonstrate sound judgment even in ambiguous situations.

This position is located in our Singapore office.

BASIC QUALIFICATIONS

- A qualified lawyer with at least six years of post-qualification legal experience (with at least three years at a law firm) as a real estate lawyer
- Experience drafting and negotiating contracts
- Strong written and oral communication skills

PREFERRED QUALIFICATIONS

- Excellent organizational skills and ability to manage multiple projects at once
- Enthusiastic, enjoy working hard, being challenged, and working in a fun, team-oriented environment
- Demonstrates sound judgment even in ambiguous situations
- Ability to work both independently and as part of a cross-functional team
- Strong analytical, written and oral communication, and client interaction skills

If interested, please apply directly to https://www.amazon.jobs/en/jobs/2790120/corporate-counsel-data-center-real-estate-and-colocation-aws-legal.

Job Descriptions:

• Support Data Protection Functional Initiatives
• Help coordinate data protection facilitation sessions between consultant and functional teams
• Data Entry to record information during facilitation sessions and meetings
• Prepare powerpoint slides for management meetings
• Compliance Monitoring and Reporting
• Monitor and ensure countries complete data protection related reports
• Prepare reports on data protection activities and compliance status
• Documentation and Record-Keeping
• Maintain accurate and up-to-date records, trackers of progress / status
• Assist in documenting data protection and other compliance-related activities
• Stakeholder Collaboration
• Work closely with IT, Legal, HR, Operations, Commercial, Finance, Customer Service, etc. departments to ensure data protection requirements are met
• Support in answering questions related to Data Protection program

Requirements

• Bachelor’s degree preferred
• Basic understanding of data protection regulations and principles preferred
• Highly organized and ability to meet deadlines
• Project management skills – ability to handle multiple projects and key stakeholders across functions
• Excellent written and verbal communication skills
• High attention to detail and accuracy
• Ability to work independently and as part of a team
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint is a must)
• Self-starter mentality who is result-oriented
• Worked in a MNC environment at a regional level before
• Preferred Qualifications
• Previous internship or work experience in data protection, compliance, or a related field.
• Knowledge of data protection
• Familiarity with OneTrust

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 to inform that only shortlisted candidates will be notified.

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. R22111375 Chua Jie Lin

Full time role

Attractive Annual leaves + Insurance coverage

Responsibilities:

· Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives

· Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions

· Ensure data quality and integrity throughout the data processing lifecycle

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

· Optimize data engineering workflows for containerized deployment and efficient resource utilization

· Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability

· Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance

· Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements

· Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure

· Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference

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

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

Requirements:

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

· 1-2 yrs experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments

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

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

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

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

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

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

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

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

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

Purva Sholapurkar

EA Licence Number: 23C2060

Registration ID is R22109878

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)

The Role
My Client is a leading Corporate Bank we are looking for a Credit Risk Analyst to join the team in Singapore. Reporting to the Head of Risk, you will be given the opportunity to work with global stakeholders and grow your career in a leading brand name within the Corporate Banking space industry.

Key Responsibilities:

• Prepare internal Credit report to the senior management
• Review IFRS9 reports and support the team regionally
• To support the Front Office on any Credit related issues
• Ensure that data for the Credit team is up to date
• To ensure that all Credit Risk policies are in line with regulations

You must:

• A bachelors degree in a reputable university
• At least 2 years of Credit Reporting experience in a Commercial / Corporate Bank
• Ideally with Database management experience
• Strong in SQL, SAS, VBA
• Be able to work independently, while also being a strong team player

Take charge of this opportunity to welcome a new career challenge in 2024

EA Personnel No R1985201
BeathChapman Pte Ltd
Licence No 16S8112

Job Responsibilities:

·Plan, execute, monitor and assist in the installation and ongoing support and maintenance of all hardware, software and networks in project delivery

·Conduct root cause analysis & implement pro-active measures

·Responsible for supporting operational systems satisfying contractual Service Level Agreement

·Perform and manage routine preventive maintenance and operational activities promptly and effectively

·Perform troubleshooting and fault rectification

·Provide up-to-date project documentation and reports

·Diagnose and rectify technical issues

·Perform standby duties if required

Job Requirements:

·Experience in Windows server OS, Unix/Linux OS & virtualization environment (VMware, HyperV etc.)

·Strong troubleshooting skills and analytical mind with problem-solving aptitude

· Excellent written and verbal communication to convey technical ideas to both technical and non-technical audiences and contribute within a team environment

·Pro-active, dynamic and with good analytical/conceptual thinking

·Able to work independently as well as in a team and good interpersonal skills

·Good Working knowledge with VPN, firewall appliances would be an advantage

·Good working knowledge with routers, switches would be an advantage

·Good working knowledge in hardware like servers, storage area networks (SAN), network-attached storage (NAS) devices

•Experience in hardening of OS, system and network equipment

•Experience in Patch Management

•Good Knowledge of IT Infra services like Active Directory, DHCP, DNS, Exchange/Mail Service, Database, Web or App Server etc.

·Entry level candidates are welcome. Candidates with complexity of experience will be considered for a senior role.

You may submit your resume to [email protected] for immediate processing.

Only shortlisted candidates will be notified.

(EA Reg No: 20C0312)

We are seeking a talented Data Engineer and Data Analyst to design, build, and maintain our data infrastructure. In this managerial position, you will develop robust data pipelines, ensure data quality, and optimize storage systems to empower data-driven decision-making across the organization.

Leading a team of Data Analysts, you will oversee comprehensive reporting and analytics while providing strategic guidance in Data Strategy and Analytics, including AI and ML initiatives. As a specialist in Azure Data Services, you will be instrumental in driving insights and fostering innovation.

• Data Pipeline Construction: Design, develop, and maintain data pipelines for smooth data flow from multiple sources to warehouses or lakes, ensuring reliable data sources.
• Data Architecture Design: Create and manage data architecture using various technologies and storage solutions for efficient and secure data handling.
• ETL Processes: Conduct Extract, Transform, Load (ETL) operations to process raw data into structured formats and load it into storage systems for analysis.
• Data Quality Assurance: Implement data cleaning and validation processes to enhance accuracy and consistency, while monitoring and optimizing data quality.
• Scalability and Optimization: Design scalable systems to handle large data volumes and improve storage and retrieval processes.
• Data Governance: Establish governance and security measures to ensure compliance, and develop policies and documentation.
• Data Analytics & Reporting: Manage Data Analytics projects, create and oversee Power BI reports and dashboards, and coordinate with the extended Data Analytics team.
• Ad Hoc Duties: Perform any additional tasks assigned by the supervisor.

Mandatory Skills:

1. Programming: Python, SQL, ETL
2. Database Management: MS SQL Server Environment, Data integration tools such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics
3. Power BI Expertise: DAX, Power Query, and creating advanced data visualizations. Experience in Data Modelling techniques.
4. Azure Cloud Environment: Azure Cloud Environment, Proficiency in Azure cloud platform, including Azure SQL Database, Azure Data Lake Storage, Azure Analysis Services, Azure Data Studio
5. Useful experiences: Machine Learning. Artificial Intelligence

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

Our client is an FMCG goods wholesaler in Singapore.
Company transport is provided in Tuas MRT.

• Supervise the loading, off-loading of goods from shipping containers and stacking of the goods in the receiving and dispatching area.
• Tally all goods and match them with shipping invoices and packing orders to ensure the accuracy of incoming and outgoing shipments.

Requirments:

• At least 1 year of working experience
• Detail oriented and with special attention to accuracy and timely reporting.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R21100996

• Supervise the loading, off-loading of goods from shipping containers and stacking of the goods in the receiving and dispatching area.
• Tally all goods and match them with shipping invoices and packing orders to ensure the accuracy of incoming and outgoing shipments.

Requirments:

• At least 1 year of working experience
• Detail oriented and with special attention to accuracy and timely reporting.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R21100996

Location: Changi Business Park – With Pick up in Tanah Merah (Morning & Evening)

Duration: 5 months

Key Responsibilities:

• Ensure all distribution activities are completed in accordance with approved documentation.
• Process Drug Order Forms, ensuring accurate entry of details such as batch allocation, quantity, and medication numbered packs into COSMOS.
• Allocate batches for opened and randomized protocols, identifying patient packs required for each Drug Order Form.
• Prepare all relevant paperwork required for each dispatch, adhering to distribution procedures, carrier requirements, and customs regulations.
• Arrange shipping of ancillary orders, including raising airway bills and generating shipping paperwork.
• Generate pro-forma and commercial invoices, Dangerous Goods declarations, e-Cert documents, and other country-specific declarations.
• Liaise with internal and external customers, and carriers regarding invoice approvals, queries, and amendments.
• Perform and maintain computer transactions in line with distribution and material control systems.
• Handle administrative duties such as photocopying, filing, and archiving of Operations documentation.
• Perform other ad hoc tasks as required by the manager.

Job Scope:

• Strong attention to detail and organizational skills.
• Proficiency in using distribution and material control systems.
• Excellent communication skills for liaising with customers and carriers.
• Ability to handle multiple tasks and prioritize effectively.
• Experience in a similar role is preferred.

For interested applicants, please send your updated resume to: [email protected]
All candidates’ information will be treated with the strictest confidence
Melissa Zhang Zhiqi (Mezzo)
R2197564
Recruit Express Pte Ltd
99C4599

Salary: up to $3200

Working Days & Hours: 2-2-3 pattern (8am-8pm/8pm-8am)

Location: Tuas (islandwide pickup)

Job Description:

• Be physically fit for manual work such as lifting, carrying, shifting, transferring of materials/chemicals.

• Perform production activities such as raw or intermediate material receiving, staging, material movement, dispensing, sampling, filter inspection, material charging, offloading, drum packing, milling operations, housekeeping as per SOP.

• Ensure proper communication and handling over of shift duties

Job Requirements: Min Diploma in Biotechnology/Chemical Process Technology/Chemical Engineering or similar

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

Salary: up to $2400

Location: Novena

Working Days & Hours: Monday to Friday: 8.30am to 5.30pm

Job Description:

• Perform merchandising to ensure adequate stock levels on shopfloor and first-expiry-first-out rotation
• Assist in routine stocktake and cycle counts of retail items in various locations
• Assist in packing and repacking bulk stocks for retail pharmacy shopfloor and/or eCommerce sales
• Assist with cashiering of retail items and medications when required
• Provide customer service and execute security control measures
• Assist outpatient pharmacy technicians in pre-packing of medications and patient registration when required
• Maintain relevant documentation of routine work activities (e.g. cycle counts, eCommerce processing)
• Any other duties as assigned by supervisors

Job Requirements: Min GCE O Level / Diploma in any course w min 2 yrs of relevant experience in pharmacy

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

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

Responsibilities and requirements:

• Bachelor degree with minimum 2 years of working experience, with relevant experience in data management and the financial services industry.

• Work closely with business stakeholders, data engineers and platform team to implement and support data distribution solution.

• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.

• Lead the dataset registration conversation with business and metadata team to ensure that the dataset are properly registered.

• Perform user acceptance testing on the data distribution channel and ensure that it meets the requirements.

• Good understanding of the principles, key controls and processes relating to data management, as well as data integration and data distribution.

• Familiarity with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo will be advantageous.

• Experience with the System Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.

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 10 years of experience in Data & AI with extensive experience in Data Marts, Data Warehouses, and Data Lakes.
• 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:

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

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field
• Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments
• Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
• Experience with Graphana, Prometheus, Splunk will be an added benefit
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

Sumit Sambhi

EA License No. – 23C2060

EA Registration No. - R1330510

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)

We are looking for Data Engineer to support our project in Singapore. This is a 2 year contract with the client directly.

The Data Engineer will support the development and maintenance of the global AI sandbox, development of cutting-edge AI solutions, R&D, and provide technical guidance and support in the data domain to the teams under incubation that develop AI Products.

The role requires a strong technical background in Data Engineering, AI, and modern Cloud infrastructure, excellent technical skills, and the ability to collaborate with both internal and external stakeholders across technology, AI, and business to deliver impactful AI products. The Data Engineer will work on the delivery of high-quality data infrastructure, continuous improvement, and experimentation, and development of the company’s data expertise.

Key Responsibilities:

In this role, you will be an active member of the AI Lab, playing the role of Data Engineer to support the implementation of solutions built in AI labs:

• Build data pipelines to bring in wide variety of data from multiple sources within the organization as well as from relevant 3rd party sources.
• Collaborate with cross functional teams to source data and make it available for downstream consumption.
• Work with the team to provide an effective solution design to meet business needs.
• Ensure regular communication with key stakeholders, understand any key concerns in how the initiative is being delivered or any risks/issues that have either not yet been identified or are not being progressed.
• Ensure timelines (milestones, decisions, and delivery) are managed and value of initiative is achieved, without compromising quality and within budget.
• Ensure an appropriate and coordinated communications plan is in place for initiative execution and delivery, both internal and external.

Qualifications:

• Strong technical background in data, AI, and modern cloud infrastructure.
• Excellent programming skills in languages such as Python, SQL.
• Experience with Cloud Infra providers like Azure data bricks, Google cloud platform or AWS
• Experience in building data pipelines using batch processing with Apache Spark (Spark SQL, Dataset / Dataframe API) or Hive query language (HQL)
• Knowledge of Big data ETL processing tools
• Experience with Hive and Hadoop file formats (Avro / Parquet / ORC)
• Basic knowledge of scripting (shell / bash)
• Experience of working with multiple data sources including relational databases (SQL Server / Oracle / DB2 / Netezza), NoSQL / document databases, flat files
• Basic understanding of CI CD tools such as Jenkins, JIRA, Bitbucket, Artifactory, Bamboo and Azure Dev-ops.
• Basic understanding of DevOps practices using Git version control
• Ability to debug, fine tune and optimize large scale data processing jobs

Argyll Scott Consulting Pte Ltd

Responsibilities:

• Responsible for the research and implementation of related algorithms in the fields of task-based dialogue, open domain QA, and customer service Chatbot.
• Drive core technology development for LLM (especially for RAG and chatbot) continuously optimizing comprehension, reasoning, and generation capabilities.
• Collaborate with cross-functional teams, to integrate advanced LLM solutions into existing systems, ensuring seamless operation and maximum impact.
• Work closely with prompt engineers to refine and optimize prompt design, enabling more accurate and contextually relevant outputs from LLMs.
• Conduct cutting-edge research to stay ahead of the latest developments in LLM and AGI technologies, applying these advancements to solve complex business challenges.
• Develop scalable and robust LLM/RAG frameworks that can be adapted to chatbot, driving innovation and maintaining a competitive edge in the market.

Requirements:

• Programming skills, data structure and algorithm skills, proficient in C/C++ or Python programming language.
• Hands-on experience in the field of machine learning, especially in large language models (LLMs) and generative artificial intelligence.
• Excellent problem analysis and solving skills, and passionate about solving challenging problems.
• Stay ahead of the latest developments in LLM and AGI technologies.
• Passionate about technology, good communication skills and teamwork spirit.

We regret that only shortlisted candidates will be notified

Noga Lim Wei Loong

Registration Number: R1329872

EA License Number: 10C3804

People Profilers Pte Ltd, 20 Cecil St, #08-09, PLUS Building, Singapore 049705

http://www.peopleprofilers.com

Roles and Responsibilities:

• Lead the complete lifecycle of data exchange projects, ensuring thorough planning, execution, and ongoing maintenance
• Define project parameters, goals, and expected results in partnership with stakeholders
• Develop and oversee detailed project schedules, budget estimates, and progress benchmarks
• Ensure efficient allocation and coordination of project resources, tasks, and activities to meet deadlines
• Proactively address and strategize against potential risks and obstacles to keep project momentum
• Apply expertise in data exchange technologies such as web services, RESTful APIs, XML, JSON to enhance process efficiencies
• Implement strategies for data mapping, transformation, and validation to ensure the integrity and accuracy of data
• Serve as the main contact for project stakeholders, offering updates and solutions to maintain project alignment and satisfaction
• Facilitate clear and effective communication, organizing stakeholder meetings and workshops to align project goals and requirements
• Leverage sector-specific knowledge, especially in manufacturing, to adapt data exchange solutions that align with business needs and goals
• Fulfill all other duties as assigned by management

Requirements:

• Bachelor’s degree or higher in IT, Computer Science, Engineering, or a related field
• Minimum 3 years of IT project management experience, emphasizing data exchange and integration, with a preference for manufacturing sector experience
• Proficiency in Python, Azure Cloud, Web services, RESTful APIs, XML, JSON, and related data formats
• Experience with integration platforms, middleware, and ETL tools
• Strong communication, collaboration, and stakeholder management abilities

Interested applicants, please Email , and look for

Jensen Fang Lifa

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R2197080

We regret that only shortlisted candidates will be contacted.