WEPS is looking for an experienced and commercially driven Senior Manager - Business & Operations to work closely with the CEO and take increasing responsibility for the day-to-day management, business development and operational execution of the company.
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Ensure all owned, hired equipment meets legislative and operational standards.
Ensure the utilization of equipment adhered to the regulatory, product and customers’ requirements.
Coordinating with internal department and external parties on equipment survey inspections, modifications, preparations according to the requirements.
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Develop, maintain, and govern a comprehensive licensing register for all operating sites in Malaysia, ensuring licenses, permits, and approvals remain current and compliant.
Lead the review and alignment of existing site licenses with the revised Malaysian Ammonium Nitrate (AN) regulatory framework to support Company's Long-Term Operability (LTO).
Liaise directly with regulators, government agencies, and relevant authorities to obtain, renew, and maintain all required licenses, permits, and approvals.
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Contribute to marketing plans and strategies, including ideation, creation of collaterals, distribution of collaterals, and measure and analyse impact/ ROI
Attend and assist at events such as conferences, seminars and exhibitions
Communicate with clients, affiliate networks and affiliate partners
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Participates on services and calibrates test equipment by making regular performance inspections, planning preventative maintenance and repairing defective equipment or systems.
Assists with repairs and preventative actions on equipment within the production.
Participates in the deployment of new equipment.
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Support the Leasing Manager in planning and implementing tenancy mix in the retail mall.
Identify and short-list suitable tenants and retail concepts for the mall. Initiate discussion with potential tenants, negotiate the lease and finalize rental and other terms and conditions.
Ensure tenants' adhere to the lease terms. Follow up through execution to the opening of store.
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Participates on services and calibrates test equipment by making regular performance inspections, planning preventative maintenance and repairing defective equipment or systems.
Assists with repairs and preventative actions on equipment within the production.
Participates in the deployment of new equipment.
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You are responsible to drive performance across a large, diverse sales force driving multiple products. Ensure consistency in performance standards while adapting to local realities.
You must be able to translate data into actionable strategies that influence real field behavior (i.e. KPI, Commission). Develop deep visibility into performance drivers across individuals, regions, and channels and turn insights into clear executable actions for the field.
You are to design and implement innovative sales ways of working (WoW) for the sales force on how they operate day-to-day. Ensuring routines, tools and reporting frameworks are actively practiced.
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deliver complex machine learning pipelines across data preparation, model development, evaluation, deployment, and monitoring
perform applied research on deep learning models for medical image segmentation, detection, and classification across imaging modalities (e.g. radiographs, CBCT, volumetric data)
design rigorous evaluation frameworks by preparing clinically meaningful metrics and test sets
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Leads RMA operations for equipments such as UPS, PDUs and batteries, and ensuring timely processing, proper troubleshooting, coordinated repairs if required, and quality assurance to deliver dependable customer support and system reliability
Manage end-to-end RMA processes, including receiving, logging, tracking, and dispatching returned equipment back to ASP warehouse
Work closely with ASP on managing RMA cases and technical issues
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Research and develop existing computer vision algorithms and incorporate novel techniques or create new algorithms from ground up to solve desired use cases
Develop and adapt advanced computer vision and state-of-the-art deep learning techniques for face recognition, object segmentation detection / classification, optical character recognition, and fraud detection
Assist in dataset preparation to enhance the models
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