QMS – Sr Quality & Reliability Engg

EHS Manager

HR Systems and Workforce Analyst

Sr. Application Developer

Cost Accountant

Facilities Technician

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Principal Platform Engineering – Digital Integration

Responsibilities: Policies and Procedures: <ul><li>Localize and implement global quality policy, procedures and systems; and review QA reports within the entire factory in order to ensure the business procedures in line with QS and global standards.</li></ul> Quality System Maintenance: <ul><li>Monitor the implementation of the quality policies, including internal audit policy; monitor effectiveness of quality system,involve the quality-related best practices activities; and coordinate quality system audit from customers and third parties</li><li>in order to ensure meet business development requirement and align with global quality policies.</li></ul> Internal Quality Audit: <ul><li>Prepare internal audit plan in order to ensure meet business development requirement and align with global quality policy.</li></ul> External Audit: <ul><li>Prepare the related information according to customer or quality agencies audit needs; coordinate the entire audit process</li><li>provide action plans to external parties base on the report findings,in order to ensure meet business development requirement and align with global quality policy.</li></ul> Document Control: <ul><li>Maintain document control system in order to meet business development requirement and align with global quality policy.</li></ul> Customer Satisfactory Survey: <ul><li>Organize and review customer satisfactory survey in order to meet business development requirement and align with global quality policy.</li></ul> Quality Metrics: <ul><li>Summary and analyze plant quality metrics, support the function department to drive the performance improvement.</li></ul> Requirements: Education, Technical Qualification &amp; Experience <ul><li>College Graduate</li><li>5-8 years quality system working experience</li><li>Manufacture plant quality system experience</li><li>Project management experience</li></ul>

Responsibilities: EHS Strategy &amp; Leadership: <ul><li>Develop, implement, and maintain a comprehensive EHS management system aligned with company goals and regulatory requirements.&nbsp;</li><li>Integrate EHS strategy into broader business planning and participate in leadership meetings to influence decision-making.&nbsp;</li><li>Lead change management initiatives to build a proactive safety culture across all levels of the organization.</li></ul> Risk Management &amp; Compliance: <ul><li>Conduct and advise on risk assessments, quantify and prioritize risks, and implement effective control measures.&nbsp;</li><li>Ensure compliance with OSHA, EPA, and other relevant local, state, and federal regulations.&nbsp;</li><li>Oversee contractor and visitor safety programs, including onboarding and compliance tracking.</li></ul> Training &amp; Engagement: <ul><li>Design and deliver engaging EHS training programs tailored to various roles and risk profiles.&nbsp;</li><li>Promote employee engagement through behavior-based safety (BBS), ergonomics, and wellness initiatives.&nbsp;</li><li>Champion inclusive safety practices that consider diverse employee needs and backgrounds.</li><li>Emergency Preparedness &amp; Crisis Management: Develop and maintain emergency response plans, conduct drills, and coordinate with local emergency services.&nbsp;</li><li>Lead crisis management efforts, including communication protocols and post-incident reviews.</li></ul> Environmental Sustainability: <ul><li>Implement and monitor environmental sustainability programs, including waste reduction, energy efficiency, and water conservation.</li><li>Audits, Inspections &amp; Continuous Improvement: Conduct regular audits and inspections to identify hazards and ensure compliance.&nbsp;</li><li>Use data analytics and digital tools to track performance, identify trends, and drive continuous improvement.</li><li>Hazardous Materials &amp; Waste Management: Oversee safe handling, storage, and disposal of hazardous chemicals and waste.&nbsp;</li><li>Ensure proper documentation and training related to chemical safety and spill containment.</li></ul> Requirements: <ul><li>Bachelor’s degree in Environmental Science, Occupational Safety, Industrial Engineering, or related field</li><li>7+ years’ experience, including 2+ years of progressive people management experience - (equivalent experience may be considered).</li><li>Proven experience in chemical handling, technical operations, and regulatory compliance.</li><li>Strong knowledge of OSHA, EPA, ISO standards, and other applicable regulations.</li><li>Proficiency in EHS software platforms and data analytics tools. Demonstrated leadership, communication, and team-building skills.</li><li>Ability to manage projects, influence cross-functional teams, and drive cultural transformation.</li></ul>

Overview: <ul><li>The HR Technology and Integration (T&amp;I) organization was established as part of the HR team’s journey through digital transformation.&nbsp;</li><li>Working as part of our Global HR Technology &amp; Integration team this role to Build, implement and improves global HR systems, data, reporting and analytics platform.&nbsp;</li><li>As a product owner you will Develop and improve existing HR systems in partnership with our Global Talent Rewards &amp; HR Services teams to meet business requirements.</li></ul> Responsibilities: <ul><li>Act as a Global Product Owner to support our Global Total Rewards systems &amp; development.</li><li>Partner closely with our Global Total Rewards team to provide product knowledge &amp; solutions.</li><li>Proactively recommend solutions and ideas to help address technical problems that hinder productivity within Total Rewards.</li><li>Collaborates with Total rewards business teams to analyse requirements, develops and implements various solutions &amp; procedures.</li><li>Provides expertise in the analysis, design, development, and implementation of our Global HRIS system &amp; applications.</li><li>Streamline &amp; continuously improve system configuration to support Global Total Rewards team</li><li>Research solutions to support HR programs and processes.</li><li>Acts as a liaison with IT (Internal &amp; External) on technical issues and projects requiring data integration and other technical support.</li><li>Troubleshoots production issues, including problem research and analysis, and performing steps for resolution.</li><li>Documents system specifications, configurations, processes and procedures.</li><li>Partners with IT, HR and business to ensure effective use of methodologies and communication of test strategies, test results and performance through testing teams</li><li>Audits and reviews changes within HRIS to ensure proper controls and separation of duties and assists in establishing new controls, as needed.</li><li>Contributes to training program development and provides Tier 3 end-user support. Partners with COE’s &amp; Shared Services on enhancements, new rollouts, etc.</li><li>Works with external vendors and other service providers to ensure the efficient, accurate, and timely exchange of information</li></ul> Requirements: <ul><li>Bachelor degree (or equivalent); advanced degree preferred.</li><li>Typically requires minimum of 5+ years of SuccessFactors experience with end to end implementation projects</li><li>SuccessFactors certification with experience and expertise in modules like Compensation and Variable Pay</li><li>Hands on experience with SuccessFactors Employee Central (EC)</li><li>Candidate should ideally have been experience in at least 1 previous global / regional implementation • Provided recommendations with half-yearly and periodic system updates</li><li>Ability to communicate recommendations and solutions to non-technical clients and end users.</li><li>Experience building and executing test scripts for HR information system upgrades and enhancements. • Desired ITIL Service Management Certified</li><li>Advanced proficiency in MS Office, especially Excel</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain web applications using Java, Spring Boot, React, Redux, and PostgreSQL</li><li>Implement and manage APIs and microservices architecture</li><li>Ensure the performance, quality, and responsiveness of applications</li><li>Identify and correct bottlenecks and fix bugs</li><li>Partner with business stakeholders and operations team to identify and manage KPIs</li><li>Evaluate the performance of processes, services, and outcomes and drive performance improvement</li><li>Independently solve complex issues, lead a team of junior and mid-level developers</li><li>Other duties as assigned</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Information Technology, or related field. Minimum of 12-15 years offull stack development related work experience</li><li>Strong oral and written communication skills</li><li>Expert in Java, Spring Boot, React, Redux, and PostgreSQL</li><li>Strong analytical skills with the ability to collect, organize, and analyze data</li><li>Attention to detail and accuracy is critical</li><li>Working knowledge of cloud platforms (e.g., AWS, Azure)</li><li>Adept at presenting findings in MS PowerPoint and MS Word</li></ul>

Responsibilities: Product Costing <ul><li>Calculate and maintain standard costs for products.</li><li>Determine labor rates and overhead absorption rates.</li><li>Maintain costing sheets and databases, including new product costing and pricing support.</li><li>Perform quarterly standard cost updates (cost roll).</li></ul> Cost Analysis <ul><li>Analyze and explain variances including:</li><li>Purchase price.</li><li>Material usage.</li><li>Labor and machine rates.</li><li>Efficiency and overhead.</li><li>Compare actual costs to standard costs and investigate deviations.</li><li>Identify root causes of cost fluctuations.</li><li>Analyze cost trends and evaluate cost behavior (fixed vs. variable).</li></ul> Month-End Activities <ul><li>Support month-end close with cost accounting entries.</li><li>Prepare journal entries with appropriate documentation.</li><li>Ensure accurate Cost of Goods Sold (COGS) reporting in P&amp;L.</li><li>Reconcile general ledger accounts with subledgers.</li></ul> Budgeting &amp; Forecasting Support <ul><li>Support preparation of cost budgets for operations/production.</li><li>Provide historical cost data for planning and analysis.</li><li>Calculate standard costs for budget models.</li><li>Monitor actual performance vs. budget.</li><li>Support forecasting through cost projections.</li></ul> Cost Optimization &amp; Business Partnering <ul><li>Identify cost reduction opportunities through data analysis.</li><li>Track and validate savings from cost improvement initiatives.</li><li>Partner with procurement on material cost updates.</li><li>Work closely with production on labor and overhead rates.</li><li>Provide cost insights to support operational decision-making.</li></ul> Requirements: <ul><li>Education &amp; Experience.</li><li>Bachelor’s degree in Finance, Accounting, Economics, or related field.</li><li>Professional accounting qualification is a plus.</li><li>Minimum 3+ years of experience in cost accounting (manufacturing environment preferred).</li><li>Experience in product costing and standard costing methodologies.</li><li>Exposure to SAP or similar ERP systems.</li></ul> Technical Skills <ul><li>Strong understanding of cost accounting principles and practices.</li><li>Advanced proficiency in Microsoft Excel.</li><li>Knowledge of Power BI and/or VBA is an advantage.</li><li>Familiarity with integrated systems and costing modules.</li></ul> Functional &amp; Industry Experience <ul><li>Experience working in a manufacturing or production environment.</li><li>Understanding of production processes, cost drivers, and operational workflows.</li><li>Hands-on exposure to plant-level costing and operational finance.</li></ul> Core Competencies <ul><li>Strong analytical and problem-solving skills.</li><li>High attention to detail and accuracy.</li><li>Structured and organized approach with the ability to manage multiple priorities.</li><li>Ability to work cross-functionally and collaborate with operations and supply chain teams.</li><li>Strong communication skills in English (written and verbal).</li></ul>

Responsibilities: <ul><li>Oversee day-to-day facility operations including HVAC systems (WCPU), air compressors, air dryers, sewage treatment systems, and general building maintenance with work at height compliance.</li><li>Provide hands-on support for: - Cooling tower infill services - Split unit A/C maintenance - Compressed Dry Air (CDA) piping installation - A compressor piping - New production line setup including electrical wiring</li><li>Supervise the infrastructure, ensuring safe and efficient operation in accordance with Malaysian electrical codes.</li><li>Manage and execute facility installation projects, expansions, and upgrades in line with production needs.</li><li>Ensure adherence to safety protocols, environmental regulations, and industry standards.</li><li>Collaborate with production, quality, and engineering teams to align facility operations with manufacturing targets.</li><li>Handle vendor management and oversee service contracts for equipment maintenance and utilities.</li><li>Perform routine troubleshooting and preventive maintenance, minimizing downtime and enhancing productivity.</li><li>Maintain detailed documentation, reports, and Preventive Maintenance (PM) records.</li></ul> Requirements: <ul><li>Minimum 3 years of experience in facility management within a manufacturing environment, preferably in antenna, electronics, or cable assembly industries.</li><li>Solid hands-on expertise in: - HVAC systems - Air compressors - CDA piping and A compressor piping - Electrical and mechanical facility systems</li><li>Familiar with energy efficiency practices, sustainability initiatives, and lean manufacturing principles.</li><li>Strong problem-solving skills and the ability to work independently in a fast-paced production setting.</li></ul>

Responsibilities: <ul><li>Leading development of advanced AI Agentic tech.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Communicating findings and insights to stakeholders in a clear and concise manner.</li><li>Staying current with the latest AI and machine learning trends and technologies.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices</li><li>Driving best practices across our data science functions.</li><li>Setting strategy and team direction, with a clear vision for Data Science.</li><li>Working with product leaders to apply data science solutions..</li><li>Evaluating and creating new frameworks and defining methodologies and governance.</li><li>Leading small- to medium-sized teams (direct or indirect).</li><li>Setting a high bar for model development.</li></ul> Requirements: <ul><li>3+ years of people management experience.</li><li>7+ years of AI/ML experience.</li><li>Significant experience in managing larger technical teams (direct or indirect).</li><li>Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues.</li><li>Be a natural problem solver, able to take a lead in collaborating to resolve issues.</li><li>Have excellent communication skills and the ability to convey information clearly to senior stakeholders.</li><li>Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.</li><li>Experience with reinforcement learning, prompt engineering, hallucination mitigation.</li><li>Working understanding of the business risks associated with applying LLM in a business.</li><li>Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).</li><li>Strong coding skills in Python or another programming language.</li><li>Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.</li></ul>

Responsibilities: <ul><li>Lead experimentation and model development for AI/ML solutions in legal products.</li><li>Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Proven experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Able to analyze large-scale legal datasets to extract insights and improve model performance.</li></ul>

Responsibilities: <ul><li>Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Education: Master’s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Strong experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Strong foundation in statistics, modeling, and large-scale text processing.</li></ul>

Responsibilities: <ul><li>Technical Leadership &amp; Strategy: Create long-term Integration Strategy and Roadmap, Define and implement Integration patterns &amp; standards</li><li>Technology Evaluation: Research, evaluate, and adopt emerging technologies, tools, and industry trends to enhance integration capabilities</li><li>Solution Architecture: Design scalable and reusable middleware components, including API gateways, message brokers, iPaas and application servers</li><li>Infrastructure Management: Deploy, manage and monitor integration solutions to ensure high availability, optimal performance and minimal downtime</li><li>Governance &amp; Standards: Establish and enforce best practices, security measures, and documentation standards for middleware platforms</li><li>Collaboration &amp; Leadership: Ability to work across teams, mentor engineers, and communicate technical strategies to stakeholders.</li><li>Experience: Substantial experience in multiple middleware technologies for architecture design, software development and system administration in both cloud-native and hybrid environments</li><li>Systems Thinking: Ability to evaluate, design and maintain future ready, secure, scalable digital integration solutions.</li></ul> Requirements: <ul><li>Minimum requirement of 8 years of relevant work experience. Typically reflects 12 years or more of relevant experience.</li><li>Technical Expertise: Strong proficiency with middleware technologies such as</li><li>Integration Platforms: Boomi, SAP BTP, MuleSoft</li><li>API Gateways: Kong, Layer7, Apigee</li><li>B2B/EDI: Open Text, Boomi, IBM Sterling</li><li>Messaging Queue: Kafka, Solace, Pulsar</li><li>Web/App Servers: WebLogic, WebSphere, Tomcat</li><li>Technical Services: Jira, GitHub, Azure DevOps, Datadog, AppDynamics</li></ul>

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120 hr practices Jobs found

QMS – Sr Quality & Reliability Engg

EHS Manager

HR Systems and Workforce Analyst

Sr. Application Developer

Cost Accountant

Facilities Technician

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Principal Platform Engineering – Digital Integration

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120 hr practices Jobs found

QMS – Sr Quality & Reliability Engg

EHS Manager

HR Systems and Workforce Analyst

Sr. Application Developer

Cost Accountant

Facilities Technician

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Principal Platform Engineering – Digital Integration

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

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COMPANY

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.