Responsibilities: 

End to End Product analytical methods oversight and knowledge:

• Maintain the oversight of the analytical methods of the assigned product(s) at given CMOs (including all analytics related to raw and starting materials to primary packaging, where relevant).
• Maintain the knowledge and the history of the product(s) analytical methods from late-stage (i.e., Phase III) development throughout the entire commercial lifecycle.

Single Point of Contact (SPOC) to GPS on assigned product(s) specific analytics:

• Reports to the Head MSAT External Operations at global level and act as the MSAT Analytical Expert representative in assigned Supply Relationship Teams (SRT) for products manufactured at CDMOs.
• Work in close collaboration with EM&S, other GPS and R&D functions (e.g., Supply Relationship Team, Quality Assurance, Regulatory Affairs, Supply Chain, etc.), and establish strong partnership with CDMO QC  teams with focus on ensuring and/or improve product process capability, to keep up to date the knowledge of analytical methods compliance with all applicable international guidelines and requirements, thereby warranting to maintain the product quality and the manufacturing / packaging processes in constant state of validation.
• Oversee and ensure maintenance of analytical documentation such as product specific analytical methods procedures, validation reports, Quality Risk Analysis (QRAs).

Continued Process Verification (CPV), data trending and statistical analysis:

• In partnership with the Product Manager, verify CPV parameters provided by the CMOs and monitor all critical variables and key variables as appropriate for the assigned product(s) (Critical Process Parameters CPP, In Process Control IPC parameters, Quality Attributes, Characteristics of raw materials. etc.) using statistical analysis and conducting regular product specific data trending.
• Understand and run data trending and statistical analysis where needed to:
• Deepen and broaden the understanding and knowledge of the process performance and product quality.
• Detect issues in process capability, such as systematic quality defects.
• Identify trends of process deviations (e.g. deviation with common root cause).
• Issue/Approve quarterly/annual data trending report.
• Ensure data and trending is shared within SRT and conclusions aligned with the CMO, for reporting to the Head MSAT External Operations.

Transfer process:

• Provide the necessary data for the technical activities involved in transferring the analytical methods for a product and its process(es), focusing on existing knowledge (e.g., Phase III development, in-licensing documentation) to create the appropriate documentation to support the sending/receiving site(s), as needed.

Investigations/improvement on product:

• Initiate and support investigations and improvement projects (e.g., quality improvement, efficiency), based on the above data analysis, involving cross-functional teams and CDMO partners.
• Actively participate and represent the product(s) analytical topics in the relevant committee (e.g. MSAT Product Portfolio Monitoring Committee), where the improvements on weak point products are planned, prioritized, and monitored.

Validation:

• Provide all necessary information to plan and execute the methods qualifications and validations activities with CDMOs and/or other Third-Party Laboratories, including the necessary documentation, align with other analytical expert and QC labs (i.e., CDMOs / CLOs) to organize, review and approve the study plans and samples management. The Analytical Sciences & Technical Manager is in lead for analytical methods qualification and validation.
• Supports other experts to assess the need to plan validations / re-validations / verifications, consulting approving and reviewing the process validation master plan, together with the Validation Lead or Validation Experts from the CMO.
• Compiles and approves both Validation Protocols and Report

• BSc. In Pharmacy, Pharmaceutical Technology, Chemistry, Engineering, or equivalent scientific degree.
• Desirable MSc. or equivalent experience
• 5-8 years’ experience in pharmaceutical and chemical analytical methods development and lifecycle management as Lab Head or comparable (analytical methods development is a plus)
• Comprehensive know-how and expertise in pharmaceutical or chemical analytical methods technologies for API, intermediates, excipients and other raw materials and consumables, desired
• Project Management and team leadership experience
• Sound experience of data handling and applied statistics is a must
• Fundamental understanding of international regulatory cGxP requirements across multiple health authorities (e.g., US, EU, JP) - China is a plus.
• Fundamental understanding of standard pharmaceutical analytical testing and methods development.
• 1 year contract with full benefits (21 days annual leave, medical + completion bonus), MNC with possibility of conversion or extension.

All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.

·       Swiss MNC

·       6 months contract (possibility to convert)

·       Location: Kallang

·       Salary: up to $4,500

·       Experience in SAP

Summary

The Order Processing Specialist is responsible for the accurate and efficient processing of customer orders for the Southeast Asia and Japan markets. This role ensures adherence to pricing guidelines, maintains meticulous order and invoicing accuracy, provides exceptional customer service, and collaborates effectively with internal and external stakeholders to optimize the order fulfillment process. The ideal candidate possesses strong organizational, communication, and analytical skills, with proficiency in SAP and a commitment to continuous improvement.

Key Responsibilities

Order Processing & Fulfilment

·       Process customer purchase orders for Southeast Asia and Japan, ensuring adherence to approved pricing and discount structures.

·       Verify with Market Head of Sales (HOS) that selling prices and discounts are correctly reflected in quotations and purchase orders before SAP processing.

·       Ensure timely and accurate order processing and invoicing in compliance with SAP procedures and standards.

Customer Service & Logistics Coordination

·       Provide advanced shipping notifications and ensure complete and accurate shipment documentation.

·       Respond promptly to customer inquiries, providing updates and resolving issues effectively.

·       Maintain accurate order status in weekly Sales and Orderbook reports.

·       Prepare shipping and banking documentation for Letter of Credit (LC) negotiations.

·       Build strong relationships with internal stakeholders (Geberit Europe and China factories) and external customers.

·       Follow up with Southeast Asia customers on outstanding Accounts Receivable.

Continuous Improvement & Compliance

·       Adhere to internal controls and best practices in line with group policies.

·       Review workflows and documentation with manager to identify process improvements.

·       Generate and analyze reports to track performance and highlight areas for improvement.

Requirements:

·       Diploma or relevant certifications in Logistics, Supply Chain Management, or related discipline.

·       Understanding of fundamental logistics processes, including shipping methods.

·       Proficiency in Microsoft Excel (basic data analysis and reporting); SAP proficiency preferred.

·       Strong aptitude for learning and adapting to new processes and systems.

·       Excellent organizational skills and attention to detail.

·       Strong communication and interpersonal skills for effective collaboration and customer interaction.

All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.

Alternatively, you may wish to email your resume in a detailed Word format to debbie@peopleprofilers.com

We regret that only shortlisted candidates will be notified

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

 Tel: 6950 9748

This role provides a professional TOP handover experience for our customers and to assist in the timely rectification of defects/resolve of customers’ complaints satisfactorily, such that the organizational objective of providing quality and unsurpassed service is met.

Responsibilities:

• Assist the Customer Service team in the liaison with main contractor on handover preparation by ensuring that the handover kit is complete on time with complete information.
• Conduct quality inspection of 100% of the units to identify defects for rectification, certify unit readiness for handover prior to Notice to Take Possession being served by ensuring that home units handed over to home buyers are in good condition. 
• Ensure defects rectification completed within stipulated timeline by liaising with main contractor and owners on rectification works and arranging joint inspections with owners on completion where necessary.
• Assist in the resolution of owners’ complaints arising from defects and other area and ensure Owners’ complaints resolved satisfactorily.

Requirements:

• Minimum ‘A’ Level/Diploma in Real Estate/Building
• Minimum 2 – 3 years in real estate and customer service
• Good written and verbal communications skills
• Pleasant, energetic personality with positive attitude
• Good organizational and problem- solving skills
• Customer oriented
• Adaptable to new and changing situations
• Working location at Central region (Fort canning and Toa Payoh)

Technical Lead: AI-Powered System Integration (GCP)

Role summary

• End-to-end technical leadership on AI-powered SI projects, from design to delivery and support
• Bridges business requirements and technical implementation
• Works with PMs, architects, developers, partners and client stakeholders

Key responsibilities

• Technical leadership:
  • Lead architecture across applications, cloud, data and integrations (cloud-native, microservices, event-driven)
  • Turn business requirements into technical solutions and architecture artifacts
  • Set coding standards and review designs and code for quality, performance and security
  • Define AI-assisted development standards: tool selection, prompt libraries, review checklists for AI-generated code, guardrails for client-sensitive code
  • Architect production-grade multi-agent and agentic systems
  • Establish LLMOps and AI evaluation frameworks
  • Lead foundation model selection and fine-tuning strategy (data, compute cost, governance)
• Delivery:
  • Oversee the full SDLC (design, build, test, deploy, support)
  • Resolve critical technical issues
  • Ensure NFRs are met (availability, scalability, performance, security)
  • Support deployment, migration and environment setup
• Stakeholders:
  • Main technical contact for clients and internal teams
  • Join requirement workshops and design reviews
  • Explain technical concepts to technical and non-technical audiences
• Team:
  • Mentor developers and engineers across full-stack, AI/ML and cloud
  • Drive knowledge sharing, allocate tasks and oversee deliverable quality
• Governance:
  • Ensure compliance with enterprise architecture, security and responsible AI standards
  • Produce documentation (HLD, LLD, ADRs, runbooks, AI model docs)
  • Support audits, risk assessments and governance reviews
• Pre-sales:
  • Provide technical input for proposals, solutioning and estimates
  • Support RFP/RFI responses and client presentations

Experience required

• 8+ years in full-stack engineering, system integration or solution delivery, including 3+ years as a technical lead or principal engineer
• 3+ years leading teams on medium to large cloud and AI projects
• SI or consulting background highly preferred

Technical skills (mandatory)

• Backend:
  • Python, Java, Golang or Node.js
  • REST/GraphQL API design
  • Microservices and middleware integration
  • Message queues, event-driven and async processing
• Frontend:
  • React, Angular or Vue
  • Component design, state management, responsive and cross-browser design
  • Accessibility, performance optimization, UI/UX best practices
  • Tooling such as Webpack and Vite
• AI-assisted development (vibe coding):
  • Tools: GitHub Copilot, Cursor, ChatGPT/Claude, Google Cloud Code Assist (Gemini, Antigravity)
  • Rapid prototyping and prompt engineering for code generation
  • Reviewing, testing and refining AI-generated code while balancing speed, security and maintainability
• Google Cloud Platform:
  • Compute: Compute Engine, Cloud Run, Cloud Functions, GKE
  • Storage and databases: Cloud Storage, Filestore, Cloud SQL, Firestore, Bigtable
  • Data: BigQuery, Dataflow, Pub/Sub
  • Networking: VPC, Cloud Load Balancing, Cloud CDN
  • Security: IAM, Secret Manager, Cloud Armor
  • CI/CD (Cloud Build, Artifact Registry), Docker and Kubernetes/GKE
  • Terraform or Cloud Deployment Manager is a plus
• Google Cloud AI & GenAI:
  • Vertex AI: training, deployment, monitoring, AutoML, fine-tuning, model versioning
  • GenAI: Gemini/PaLM, prompt engineering, RAG, Vertex AI Vector Search and embeddings
  • Vision AI, Speech AI, Natural Language AI, Recommendations AI
  • AI evaluation, monitoring, responsible AI and model governance
• Data & analytics:
  • BigQuery for warehousing, analytics and ML feature engineering
  • Data pipelines (ETL/ELT) and streaming (Pub/Sub, Dataflow)
  • SQL and NoSQL databases
  • Data governance, privacy and security
• DevOps & security:
  • Modern DevOps practices and full-stack security
  • Secure AI, data privacy and compliance
  • Monitoring and observability (Cloud Monitoring, Cloud Logging)

Soft skills

• Strong problem-solving and analytical ability
• Excellent communication and stakeholder management
• Comfortable in fast-paced, multi-project environments
• Collaborative and team-oriented
• Keen to keep up with emerging technology

Nice to have

• Experience with Azure and/or AWS

Role Summary

• Lead the design, development, and governance of enterprise AI agents built on Gemini Enterprise and Gemini models
• Own the full agent lifecycle: architecture, grounding, deployment, evaluation, and ongoing governance
• Ensure agents are accurate, safe, compliant, and trusted enough for production use
• Serve as the go-to expert for building agents on Gemini Enterprise and for setting up the governance frameworks that keep them reliable at scale
• Collaborate with the GCP platform team (the underlying infrastructure runs on Google Cloud Platform)

Key Responsibilities

Gemini Enterprise Agent Development

• Design, build, and own multi-agent solutions on Gemini Enterprise (formerly Agentspace), covering architecture, orchestration, task/tool design, and multi-turn conversation flows
• Configure grounding, enterprise search, and data connectors so agents retrieve accurate, up-to-date, and properly scoped information
• Integrate Gemini models (via Gemini API and/or Vertex AI) into agents and downstream applications, tuning prompts, context strategies, and tool/function calling
• Design and productionize RAG pipelines and retrieval strategies for agent grounding
• Evaluate and iterate on agent quality (accuracy, relevance, latency, cost) using structured evaluation frameworks

AI Governance & Responsible Agent Operations

• Define and implement governance frameworks: access control, data permissions, usage policies, and approval workflows for new production agents
• Build guardrails against hallucination, data leakage, prompt injection, and unauthorized data access
• Establish monitoring, logging, and audit trails for agent behavior, including token usage, response quality, and policy violations
• Partner with security, legal, and compliance teams to meet data privacy, residency, and responsible-AI requirements
• Create and maintain documentation, review checklists, and lifecycle standards (build → evaluate → approve → monitor → retire)
• Track Gemini model and Gemini Enterprise releases and assess their impact on existing agents and governance policies

Cross-Functional Collaboration & Automation

• Work with data science, AI engineering, security, and business teams to turn use cases into governed, production-ready agents
• Automate agent configuration, evaluation, and deployment workflows using Python and Gemini Enterprise/Vertex AI APIs and SDKs
• Build internal tooling and dashboards for visibility into agent inventory, usage, and governance status
• Participate in code and design reviews and contribute to shared standards for agent development and governance

Required Skills & Experience

• 7+ years in AI/ML engineering, applied AI, or GenAI platform roles, with hands-on ownership of agent or LLM-application development
• Direct, hands-on experience building and configuring agents on Gemini Enterprise (or Agentspace): agent design, grounding, enterprise search, data connectors
• Strong hands-on experience with Gemini models (Gemini API or Vertex AI): prompting, tool/function calling, context and RAG design
• Practical experience implementing AI governance controls: access management, guardrails, evaluation frameworks, audit logging, and responsible-AI policies
• Solid understanding of LLM application patterns: RAG, embeddings, vector search, multi-agent orchestration
• Solid Python skills for automation, evaluation tooling, and API integration
• Ability to work cross-functionally with data science, security/compliance, and business stakeholders
• Working familiarity with GCP (IAM, Cloud Storage, basic networking)

Preferred / Nice-to-Have

• Google Cloud certifications (Professional Machine Learning Engineer or Professional Cloud Architect)
• Experience with Terraform, Kubernetes (GKE), or CI/CD pipelines
• Experience with monitoring/observability tools (Cloud Monitoring, Prometheus, Grafana, Datadog)
• Familiarity with responsible-AI and model-risk frameworks for enterprise GenAI
• Experience with other enterprise GenAI/agent platforms (e.g., OpenAI, Anthropic, open-source LLM stacks) for comparison

Soft Skills

• Strong governance and risk mindset, balancing agent capability with safety, compliance, and trust
• Clear communicator who can translate technical agent behavior into business and compliance language
• Comfortable with ambiguity amid fast-evolving Gemini features and emerging governance practices
• Ownership mentality, from agent design through deployment, evaluation, and long-term governance

Tech Stack

• Agent Development: Gemini Enterprise (Agentspace), Gemini models, Vertex AI, Model Armor, custom ADK agents, Agent Designer
• AI Governance: Evaluation frameworks, audit/logging tooling, responsible-AI guardrails, IAM/access policies
• Retrieval & Data: RAG pipelines, enterprise search, data connectors, vector search
• Languages: Python (primary), Terraform, JavaScript, Bash
• Cloud Platform (supporting): GCP (IAM, Cloud Storage, networking basics)
• Monitoring: Cloud Monitoring, Cloud Logging, Prometheus, Grafana

We regret that only shortlisted candidates will be notified

• Handle Accounts Payable and Accounts Receivable activities, including invoice processing, payments, billings, collections, and receipt posting.
• Perform vendor, customer, and intercompany reconciliations.
• Support month-end closing, accruals, and follow-up on outstanding submissions.
• Create and maintain accurate supplier and customer records.
• Coordinate with Operations, outsourced service providers, and external stakeholders on finance-related matters.
• Support finance system implementation and process improvement projects, including commission automation and vehicle payment workflows.
• Ensure compliance with financial policies, GST requirements, and internal controls.
• Perform other duties assigned by the Finance Manager.

Requirements: 

• Diploma or Degree in Accounting, Finance, or a related discipline.
• Relevant experience in Accounts Payable, Accounts Receivable, or general accounting.
• Proficient in Microsoft Excel and familiar with SAP/Workday systems.
• Experience with system implementation, or process improvement is an advantage.
• Detail-oriented with good organisational and stakeholder-management skills.
• 5 days week.
• 1 year contract with full benefits + completion bonus

All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.

Working Hours: 9AM - 6PM (Monday to Friday)

Work Type: Full Time

Job Responsibilities

·       Responsible for receiving all incoming parts from vendors and verifying deliveries against Delivery Orders (DOs) to ensure the correct quantity and that all items are received in good condition

·       Verify Delivery Order accuracy against Open Purchase Orders (POs)

·       Update the company’s in-house ERP system promptly and accurately before informing end-users of the receipt of parts as specified in the PO. Liasing with vendors on all modification parts are send to correct vendors and return back

·       Liaise with vendors to ensure modified parts are sent to the correct vendors for modification and returned upon completion

·       Maintain the store and workshop in a clean, safe, and orderly condition in accordance with 5S standards

·       Ensure subcontractors comply with established workshop procedures and protocols

·       Monitor consumable and expendable stock levels to ensure adequate availability

·       Replenish stocks when necessary to prevent shortages and minimize disruption to operations

·       Pack sales parts according to customers’ POs and specific requirements

·       Coordinate and ensure timely collection by courier services

·       Perform other ad-hoc duties and responsibilities as assigned by the immediate supervisor

Job Requirements

·       Possess at least a GCE ‘O’ Level certificate or equivalent

·       Possess good computer skills, particularly in Microsoft Excel, with good written and verbal communication skills

·       Relevant working experience in a warehouse, store, inventory, or receiving environment will be an added advantage

·       Able to work independently, with a positive attitude, willingness to learn, and a proactive approach to work

All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.