Service Manager

Production Manager - Cable Making Business

Manager I – Continuous Improvement

Sr. Manufacturing & Process Development Engineer

Senior Data Engineer

Facilities Supervisor

Principal AWS Network Infrastructure Engineer

Senior Data Scientist - Machine Learning

Senior Software Engineer - Boomi or BTP

Software Engineer - Boomi or BTP

Responsibilities: Technical: <ul><li>Collaborate with the technical support team to resolve dealer service and parts issues efficiently.</li><li>Deliver regional and on-site technical training for troubleshooting and equipment repair.</li><li>Support and advance the Service Management Development and Certification Program.</li></ul> Dealer Development: <ul><li>Participate in dealer selection and onboarding processes.</li><li>Conduct dealer capability assessments and implement performance improvement plans.</li><li>Ensure dealer compliance with technical training and certification programs.</li><li>Train dealer personnel on internal systems (Dealer Portal, service platforms, warranty systems, etc.).</li><li>Support dealerships in improving absorption rates and overall operational performance.</li></ul> Parts &amp; Service Operations: <ul><li>Partner with aftersales and dealer teams to achieve regional parts sales targets.</li><li>Monitor and manage service &amp; parts KPIs and operational metrics.</li><li>Promote the use of OEM service parts across dealerships.</li><li>Drive participation in parts programs and promotional initiatives.</li><li>Provide technical support related to parts and service operations.</li></ul> Quality, Warranty &amp; Campaigns: <ul><li>Ensure dealer adherence to warranty processes and procedures.</li><li>Monitor campaign completion and ensure 100% closure of safety-related actions.</li><li>Administer goodwill policies within budget and company guidelines.</li><li>Conduct warranty audits to ensure compliance.</li><li>Report recurring field issues to the quality team for resolution.</li></ul> Requirements: <ul><li>Minimum 5+ years of aftersales experience in agricultural, construction, or automotive industries.</li><li>Strong knowledge of dealership operations and dealer network management.</li><li>Good understanding of service and parts operations, including KPIs.</li><li>Strong technical expertise in agricultural or heavy equipment.</li><li>Excellent communication and interpersonal skills.</li><li>Ability to troubleshoot mechanical, electrical, electronic, and hydraulic systems.</li><li>Proficiency in Microsoft Office (Intermediate to Advanced).</li><li>Willingness to travel up to 75%.</li><li>Valid driver’s license with a clean driving record.&nbsp;</li></ul>

Responsibilities: Policies, Compliance &amp; Governance <ul><li>Develop and implement manufacturing policies and procedures in compliance with company standards, regulatory requirements, and customer-specific requirements (e.g., automotive, industrial).</li><li>Ensure full alignment with the organization principles and drive governance across production operations.</li><li>Establish clear roles, responsibilities, and accountability to support a high-performance culture.</li><li>Drive compliance in EHS, quality systems, and corporate policies.</li></ul> Strategy, Demand &amp; Capacity Planning <ul><li>Lead SIOP (Sales, Inventory &amp; Operations Planning) alignment with cross-functional teams (planning, procurement, engineering).</li><li>Own demand forecasting translation into executable production plans.</li><li>Drive capacity planning, including labor, equipment, and tooling readiness for NPI and ramp.</li><li>Develop and manage annual operating plans (AOP), budgets, and KPI targets aligned with plant and segment goals.</li></ul> Production Planning &amp; Execution <ul><li>Oversee detailed production scheduling to meet customer delivery (OTD) and lead-time targets.</li><li>Ensure seamless coordination between planning, material availability, and shopfloor execution.</li><li>Drive daily management using tiered accountability (e.g., SQDC boards) to close gaps quickly.</li><li>Lead ramp readiness and execution for new programs and volume increases.</li></ul> Operations &amp; Value Stream Management <ul><li>Lead Value Stream (VS) performance to achieve Safety, Quality, Delivery, and Cost (SQDC) targets.</li><li>Drive operational excellence through Lean Manufacturing and company tools (e.g., VSM, QCO, standard work, visual management).</li><li>Ensure strong quality control and assurance, including FPY, scrap reduction, and customer complaint resolution.</li><li>Lead structured problem-solving (8D, A3) for manufacturing and quality issues.</li><li>Ensure STR (Short-Term Recovery) discipline for gap closure.</li></ul> Inventory, Materials &amp; Resource Optimization <ul><li>Drive inventory management aligned with company working capital targets (DOH, turns).</li><li>Ensure material availability while minimizing excess and obsolescence.</li><li>Optimize resource allocation (labor, equipment, floor space) to maximize productivity and efficiency.</li></ul> Cost Management &amp; Productivity <ul><li>Own and deliver cost commitments including productivity, conversion cost, and budget adherence.</li><li>Drive cost reduction through Kaizen, waste elimination, labor productivity, and process optimization.</li><li>Support make vs. buy decisions and footprint optimization where applicable.</li></ul> Maintenance &amp; Equipment Reliability <ul><li>Partner with Maintenance and Engineering to ensure high equipment uptime (OEE focus).</li><li>Implement preventive and predictive maintenance systems aligned with company standards.</li><li>Support equipment qualification, automation, and digitalization initiatives.</li></ul> People Leadership &amp; Talent Development <ul><li>Build and lead a high-performing, engaged production team.</li><li>Develop frontline leaders (supervisors, VS leaders) in Lean, and leadership capability.</li><li>Drive performance management, succession planning, and talent retention.</li><li>Foster a culture of accountability, continuous improvement, and employee engagement.</li></ul> Continuous Improvement &amp; Deployment <ul><li>Lead and sustain company deployment across production areas.</li><li>Execute continuous improvement initiatives (Kaizen, Tebit savings, CI projects) to improve SQDC performance.</li><li>Promote best practice sharing across value streams and plants.</li></ul> Technology &amp; NPI Support <ul><li>Collaborate with Engineering on NPI, process validation, and industrialization.</li><li>Support DFM/DFA and process capability improvement.</li><li>Drive adoption of new manufacturing technologies and automation to enhance competitiveness.</li></ul> Operational Flexibility <ul><li>Demonstrate flexibility to support shift operations, ramp-up activities, and critical business needs, including off-hours leadership presence when required.</li></ul> Requirements: <ul><li>Min 8-10 years working experience in an MNC with responsibilities in production operations.&nbsp;</li><li>Strong exposure to Contract Manufacturing operations.&nbsp;</li><li>SAP knowledge is an added advantage.&nbsp;</li><li>Cable manufacturing exposure is an added advantage.&nbsp;</li><li>Proven ability in People Management.&nbsp;</li><li>Hands-on experience in NPI, ramp up activities, and continuous improvement initiatives.&nbsp;</li><li>Demonstrated team leadership skills with the ability to drive operational excellence.</li><li>Travelling 20% required for product knowledge transfer.</li><li>Fluent in English &amp; Malay (verbal and written)</li></ul>

Responsibilities: Lean Deployment &amp; Strategy <ul><li>Develop and execute site-level continuous improvement and our client deployment plans aligned with business and operational goals.</li><li>Lead implementation of Lean Six Sigma tools and methodologies (5S, Value Stream Mapping, Kaizen, SMED, Standard Work, Visual Factory, etc.).</li><li>Drive a culture of continuous improvement across the plant through structured initiatives and training.</li></ul>&nbsp;Leadership &amp; Capability Building <ul><li>Mentor and support our client practitioners and Kaizen facilitators.</li><li>Train employees, leadership, and staff on Lean tools and methodologies.</li><li>Promote lean thinking, operational excellence, and problem-solving capabilities across teams.</li></ul>&nbsp;Project &amp; Performance Management <ul><li>Lead continuous improvement projects and cross-functional teams.</li><li>Monitor project progress, track performance metrics, and ensure achievement of operational targets.</li><li>Manage deployment plans at both site and functional levels.</li><li>Track, validate, and report cost savings and operational improvements.</li></ul>&nbsp;Operational Excellence <ul><li>Develop value stream maps and implement improvement strategies.</li><li>Facilitate Kaizen events and ensure sustainability of improvements.</li><li>Identify opportunities to reduce waste, improve quality, and optimize processes.</li><li>Ensure visibility and accountability of improvement actions across stakeholders.</li></ul> Stakeholder Collaboration <ul><li>Partner with site leadership to meet operational and financial goals.</li><li>Communicate progress, performance metrics, and improvement initiatives effectively.</li><li>Replicate best practices and share success stories across the organization.</li></ul>&nbsp;Requirements: Education <ul><li>Bachelor’s degree in Engineering or a related field (required)</li><li>Master’s degree (preferred)</li></ul>&nbsp;Experience <ul><li>5–7 years of experience in operations, manufacturing, logistics, or industrial engineering</li><li>3–5 years of hands-on Lean/Continuous Improvement experience</li><li>Proven track record of driving successful Lean transformations and delivering measurable results</li><li>Experience leading value stream-level improvement initiatives</li></ul>&nbsp;Technical &amp; Functional Skills <ul><li>Strong expertise in Lean tools: 5S, Value Stream Mapping, Kaizen, SMED, Standard Work, TPM, Visual Factory</li><li>Knowledge of Six Sigma methodologies (DMAIC)</li><li>Experience in process improvement and operational excellence programs</li><li>Understanding of Theory of Constraints (preferred)</li><li>Strong analytical and data-driven decision-making skills</li><li>Project management and change management expertise</li></ul> Certifications (Preferred) <ul><li>Six Sigma Black Belt / Master Black Belt (strongly preferred)</li><li>Lean certifications&nbsp;</li></ul>

Responsibilities: Automation &amp; Process Development <ul><li>Lead end-to-end development of automation systems, including concept design, hardware/software selection, prototyping, testing, validation, and full-scale implementation.</li><li>Conduct hands-on experimental trials to validate manufacturing processes and gather performance data.</li><li>Collaborate with Product Development teams to ensure designs align with automation and manufacturability standards.</li><li>Develop engineering specifications, preliminary designs, and support pre-production builds and testing.</li></ul> Process Optimization &amp; Problem Solving <ul><li>Apply data-driven methodologies such as Six Sigma, DMAIC, and 8D to identify root causes and improve process capability.</li><li>Analyze yield and process data to develop optimization strategies and enhance efficiency.</li><li>Research and implement new technologies and manufacturing techniques to improve quality and reduce costs.</li></ul> Project &amp; Stakeholder Management <ul><li>Manage multiple engineering projects simultaneously in a fast-paced environment.</li><li>Collaborate with vendors and cross-functional teams to support automation and process development initiatives.</li><li>Provide technical leadership and communicate complex concepts effectively to stakeholders.</li></ul> Documentation &amp; Innovation <ul><li>Prepare detailed technical documentation, design drawings, and process implementation requirements.</li><li>Support submission of invention disclosures for innovative concepts.</li><li>Contribute to the development and deployment of next-generation manufacturing technologies, including AI-driven solutions.</li></ul> Requirements: Education <ul><li>Bachelor’s degree in Electrical, Mechanical, Robotics, Mechatronics, or Electro-Mechanical Engineering (minimum).</li></ul> Experience <ul><li>5–7 years of experience in automation systems and manufacturing engineering.</li><li>Proven experience leading automation projects from concept to implementation.</li></ul> Technical Skills <ul><li>Automation systems: PLCs, HMIs, VFDs, servo motors, sensors, and actuators</li><li>PLC programming: Omron, Siemens, Allen-Bradley</li><li>Industrial robotics troubleshooting: KUKA, ABB, EPSON</li><li>Vision systems: Keyence, Cognex</li><li>CAD tools: Creo, SolidWorks, AutoCAD (2D &amp; 3D)</li><li>Strong electrical and electronic troubleshooting skills</li><li>Experience with Six Sigma / DMAIC / 8D methodologies</li><li>Exposure to Artificial Intelligence (preferred)</li></ul>

Responsibilities: Data Infrastructure:&nbsp; <ul><li>Prepares data infrastructure to support the efficient storage and retrieval of data.</li></ul> Data Formats:&nbsp; <ul><li>Examines and resolves appropriate data formats to improve data usability and accessibility across the organization.</li></ul> Data &amp; Analytical Solutions:&nbsp;&nbsp; <ul><li>Develops complex data products and solutions using advanced engineering and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.</li></ul> Data Pipelines:&nbsp;&nbsp; <ul><li>Develops and maintains streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.</li></ul> Data Systems:&nbsp;&nbsp; <ul><li>Reviews existing data systems and architectures to identify areas for improvement and optimization.</li></ul> Stakeholder Management: <ul><li>Collaborates with multi-functional data and advanced analytic teams as well as with business teams to gain requirements and ensure that data solutions meet the functional and non-functional needs of various partners.</li></ul> Data Frameworks:&nbsp; <ul><li>Builds complex prototypes to test new concepts and implements data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.</li></ul> Automated Deployment Pipelines:&nbsp;&nbsp; <ul><li>Develops automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.</li></ul> Data Modeling:&nbsp;&nbsp; <ul><li>Performs complex data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience.&nbsp;</li><li>Typically reflects 5 years or more of relevant experience.</li></ul>

Responsibilities : <ul><li>Supervise day-to-day facility operations, including building, equipment, utilities ,and grounds maintenance.&nbsp;</li><li>Manage preventive and corrective maintenance programs to minimize downtime and ensure safety.&nbsp;</li><li>Oversee contractors, vendors, and service providers to ensure quality, cost effectiveness, and compliance with standards.&nbsp;</li><li>Ensure facilities comply with local regulations, EHS standards, and corporate sustainability goals.&nbsp;</li><li>Support plant operations by ensuring reliable supply of utilities such as electricity ,water, compressed air, and HVAC systems.&nbsp;</li><li>Lead and develop a team of technicians to drive efficiency, safety, and continuous improvement.&nbsp;</li><li>Prepare and monitor facility budgets, expenses, and project timelines.&nbsp;</li><li>Manage emergency response plans and support safety initiatives across the site.&nbsp;</li><li>Drive facility improvement projects, including space planning, energy efficiency, and workplace optimization.</li></ul> Requirements: <ul><li>Diploma/Degree in Mechanical, Electrical, Facilities Management, or related field.&nbsp;</li><li>Minimum 5 years of facilities management/maintenance experience, preferably in a manufacturing environment.&nbsp;</li><li>Strong knowledge of EHS compliance, building systems, utilities, and facility operations.&nbsp;</li><li>Proven experience supervising teams and managing external contractors/vendors.&nbsp;</li><li>Strong problem-solving, organizational, and project management skills.&nbsp;</li><li>Good communication skills in English and Bahasa Malaysia.</li></ul>

Responsibilities: Design and Implementation:&nbsp; <ul><li>Architect and deploy scalable, secure, and highly available network infrastructure solutions in AWS</li></ul> Network Management:&nbsp; <ul><li>Manage and optimize AWS networking services such as VPC, Direct Connect, Route 53, CloudWAN, and Transit Gateway</li></ul> Security:&nbsp; <ul><li>Implement and maintain network security best practices, including firewalls, VPNs, and security groups</li></ul> Automation:&nbsp; <ul><li>Develop and maintain automation scripts using tools like Terraform, CloudFormation, and Python</li></ul> Monitoring and Troubleshooting:&nbsp; <ul><li>Monitor network performance and troubleshoot issues to ensure optimal performance and reliability</li></ul> Collaboration:&nbsp; <ul><li>Work with cross-functional teams to support application development and deployment</li></ul> Documentation:&nbsp; <ul><li>Create and maintain detailed network documentation and diagrams</li></ul> Cost Management:&nbsp; <ul><li>Monitor and optimize cloud costs, implementing cost-saving measures where possible</li></ul> Compliance and Governance:&nbsp; <ul><li>Ensure that all cloud network solutions comply with our client standards</li></ul> Performance Tuning:&nbsp; <ul><li>Continuously improve the performance and reliability of network systems</li></ul> Incident Response:&nbsp; <ul><li>Lead incident response efforts for network-related issues and outages</li></ul> Training and Mentorship:&nbsp; <ul><li>Provide training and mentorship to junior network engineers and other team members</li></ul> Innovation/Continuous Learning:&nbsp; <ul><li>Stay updated with the latest cloud networking technologies and propose innovative solutions to improve the infrastructure</li></ul> Business Competencies: <ul><li class="ql-indent-1">Adaptable to work effectively within a variety of situations and with various individuals, groups or independently</li><li class="ql-indent-1">Ability to document and communicate effectively, explaining technical concepts and network initiatives in business terms in both individual and group settings</li><li class="ql-indent-1">Must be tenacious, overcoming obstacles and identifying risks</li><li class="ql-indent-1">Attention to detail will be critical to assist with the successful implementation of initiatives</li></ul> Requirements: <ul><li class="ql-indent-1">10+ years of experience in IT, with at least 5+ years in AWS cloud engineering and architecture.</li><li class="ql-indent-1">Strong understanding of AWS network infrastructure and service integration, including VPC, IAM, Transit Gateway, and CloudFormation, and how AWS services such as EC2, EKS, RDS, S3, and Lambda operate within those network architectures.</li><li class="ql-indent-1">Strong experience with Terraform, CloudFormation, and automation scripting (Bash, Python, PowerShell).</li><li class="ql-indent-1">Proficiency in monitoring and logging tools (DataDog, Splunk, Coralogix, CloudWatch).</li></ul> Technical Skills: <ul><li class="ql-indent-1">In-depth knowledge of AWS networking services and best practices, such as VPC, AWS Firewall, Transit Gateway, WAF, Security Groups, CloudWAN, NACLS, Shield Advance, and Direct Connect</li><li class="ql-indent-1">Advanced understanding of networking protocols and services such as BGP, OSPF, TCP/IP, DNS, DHCP, and VPNs</li><li class="ql-indent-1">Proficiency in network security principles and tools</li><li class="ql-indent-1">Skilled in network automation and scripting</li><li class="ql-indent-1">Experience in developing IaC with advanced skills in tools such as Terraform, AWS CloudFormation, and Ansible for automating infrastructure deployment and management</li><li class="ql-indent-1">Familiar with DevOps practices / CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions to automate testing and deployment</li></ul>&nbsp;

Responsibilities: <ul><li>Lead the design, development, and deployment of machine learning models using Python for applications including process optimization, predictive analytics, demand forecasting, computer vision, and decision support systems</li><li>Network across manufacturing, R&amp;D, commercial, and business functions to identify and collaboratively execute on high-impact challenges solvable through machine learning techniques</li><li>Build production-ready ML solutions within enterprise platforms (Databricks, Azure ML) including model training, endpoint deployment, and monitoring</li><li>Develop and maintain scalable, modular, well-documented code following MLOps best practices including version control, logging/metadata standards, and CI/CD principles</li><li>Lead code reviews, architectural discussions, and knowledge sharing to maintain high quality, production-ready deliverables across the team</li><li>Collaborate with domain experts and stakeholders across a wide variety of domains to understand needs, integrate ML solutions into workflows, and deliver measurable business value</li><li>Communicate complex machine learning methodology, results, and business impact clearly to technical and non-technical audiences through presentations, documentation, and visualizations</li><li>Stay current with advancements in machine learning, and apply them to solve business challenges</li><li>Mentor and provide technical guidance to data scientists, helping to grow the teams capabilities in Hyderabad</li><li>Support ML governance processes including architecture and methodology reviews, risk assessments, and compliance with enterprise standards</li><li>Lead project planning and execution, managing timelines, resources, and stakeholder expectations</li></ul> Requirements: <ul><li>Masters or Ph.D. in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Operations Research, or a domain-focused field (Engineering, Chemistry, Economics, Finance, etc.)</li><li>5-8+ years of experience in data science, machine learning, or a related field with demonstrated impact</li><li>Strong foundation in statistical and machine learning theory with proven ability to select, apply, and evaluate appropriate techniques for complex, real-world problems</li><li>Extensive hands-on experience building predictive models and deploying them to production environments using Python</li><li>Proficiency with modern ML frameworks (scikit-learn, XGBoost/CatBoost, TensorFlow/PyTorch) and data manipulation libraries (pandas, polars, numpy)</li><li>Experience with solution architecting and design for ML systems</li><li>Hands-on experience with cloud platforms such as Azure and/or Databricks for deploying and managing ML models and solutions</li><li>Experience with version control (Git), collaborative development, and code review processes</li><li>&nbsp;Strong written and oral communication skills with ability to present technical concepts and results to diverse audiences from technical teams to business leadership</li><li>History of project leadership and driving initiatives from conception to production</li><li>Strong problem-solving skills and the ability to work independently as well as lead and mentor team members&nbsp;</li></ul>

Responsibilities: <ul><li>SOFTWARE DEVELOPMENT: Designs and develops high quality software solutions by writing clean, maintainable and efficient codes.</li><li>AUTOMATION: Leads the application of internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.</li><li>COLLABORATION: Partners with cross functional team of product managers, designers and different engineers to gather complex requirements and deliver solutions that meet business needs.</li><li>TESTING &amp; DEBUGGING: Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.</li><li>CONTINUOUS IMPROVEMENT: Suggests options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.</li><li>DOCUMENTATION: Builds and maintains comprehensive documentation for complex software applications, deployment processes and system configurations.</li><li>TECHNICAL SUPPORT: Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution.</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience.</li><li>Typically reflects 5 years or more of relevant experience.</li><li>SAP BTP and/or Boomi expertise</li><li>7+ years of professional experience</li></ul>

Responsibilities; Software Develpoment:&nbsp; <ul><li>Designs and develops high quality software solutions by writing clean, maintainable and efficient codes.&nbsp;</li></ul> Automation:&nbsp; <ul><li>Leads the application of internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.&nbsp;</li></ul> Collabroation:&nbsp; <ul><li>Partners with cross functional team of product managers, designers and different engineers to gather complex requirements and deliver solutions that meet business needs.&nbsp;</li></ul> Testing &amp; Debugging:&nbsp; <ul><li>Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.&nbsp;</li></ul> Continoud Improvement:&nbsp; <ul><li>Suggests options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.&nbsp;</li></ul> Documentation:&nbsp; <ul><li>Builds and maintains comprehensive documentation for complex software applications, deployment processes and system configurations.&nbsp;</li></ul> Technical Support:&nbsp; <ul><li>Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.&nbsp;</li></ul> Preferred Qualifications: <ul><li>SAP BTP and/or Boomi expertise</li><li>4+ years of professional experience</li></ul>

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126 equipment deployment Jobs found

Service Manager

Production Manager - Cable Making Business

Manager I – Continuous Improvement

Sr. Manufacturing & Process Development Engineer

Senior Data Engineer

Facilities Supervisor

Principal AWS Network Infrastructure Engineer

Senior Data Scientist - Machine Learning

Senior Software Engineer - Boomi or BTP

Software Engineer - Boomi or BTP

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Skills

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126 equipment deployment Jobs found

Service Manager

Production Manager - Cable Making Business

Manager I – Continuous Improvement

Sr. Manufacturing & Process Development Engineer

Senior Data Engineer

Facilities Supervisor

Principal AWS Network Infrastructure Engineer

Senior Data Scientist - Machine Learning

Senior Software Engineer - Boomi or BTP

Software Engineer - Boomi or BTP

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

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