Collaborate with cross-functional stakeholders including engineering, manufacturing, automation, IT, and operations teams to deliver end-to-end digital solutions.
Develop solutions that support real-time data processing, event-driven architectures, and streaming analytics environments.
Participate in the development of AI-enabled applications such as conversational assistants, recommendation systems, anomaly detection, computer vision, or predictive analytics solutions.
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At SafeTruck, we are revolutionizing fleet management and logistics with cutting-edge AI and predictive analytics. We’re on a mission to enhance AI-driven route planning, intelligent fleet operations, and predictive analytics for safer, smarter, and more efficient transportation.
· CV-Driven Inspection: Develop and maintain Computer Vision models for real-time automated defect recognition on the production line.
· QDN Automation: Architect an automated QDN Lot Containment system that triggers immediate holds or re-routing of suspected sub-standard lots based on AI-detected anomalies.
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Support in processing automation and digital transformation initiatives, with growing exposure to AI tools (LLMs, prompt engineering) for knowledge retrieval and decision support.
Develop and maintain prompt engineering strategies for improving model performance. Document experiment, design code, and system interfaces to ensure maintainability and scalability.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or related Engineering field.
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Able to deploy trained models into production environments, including APIs, edge devices, or embedded systems. Ensure seamless integration with manufacturing systems and establish real-time monitoring for model performance.
Design and develop scalable GenAI applications using LLMs tailored to manufacturing use cases.
Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
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Support in processing automation and digital transformation initiatives, with growing exposure to AI tools (LLMs, prompt engineering) for knowledge retrieval and decision support.
Develop and maintain prompt engineering strategies for improving model performance. Document experiment, design code, and system interfaces to ensure maintainability and scalability.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or related Engineering field.
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Strategic Interface: Serve as the primary escalation point for customer-related operational challenges, representing the business unit as the key liaison between internal stakeholders and external partners.
Revenue Performance Management: Proactively monitor, analyze, and report on customer revenue performance to the business unit leadership, driving action plans to meet and exceed sales revenue goals.
Continuous Improvement: Drive process improvements across order management, inventory optimization, and customer satisfaction strategies to enhance efficiency and service quality.
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Develop, implement, and maintain the corporate-level ICT Business Continuity Management System (BCMS) and Cyber Crisis Management plans in alignment with ISO 22301 and ISO 27031
Lead comprehensive Business Impact Analyses across the organization to identify critical processes, Allowable Interruption Windows (AIWs), Maximum Tolerable Outages (MTOs), and minimum Service Level Objectives (SLOs)
Partner with IT teams to design and validate backup/recovery strategies. Ensure that technical Disaster Recovery plans are capable of meeting RTO and RPO targets derived from business requirements
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Support in processing automation and digital transformation initiatives, with growing exposure to AI tools (LLMs, prompt engineering) for knowledge retrieval and decision support.
Develop and maintain prompt engineering strategies for improving model performance. Document experiment, design code, and system interfaces to ensure maintainability and scalability.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or related Engineering field.
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Comfort with technology and software tools, such as office productivity suites, basic spreadsheets, and collaboration platforms; interest in AI, automation, or data-driven solutions is highly beneficial.
Adaptability and willingness to learn, with a proactive attitude toward acquiring new skills in consulting, AI, and enterprise software delivery.
Bachelor’s degree (or equivalent experience) in business, economics, computer science, information systems, engineering, or a related field.
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Expense Claims & Financial Administration: Review and process employee travel and expense claims in accordance with company policies while maintaining proper supporting documentation and records.
Compliance & Internal Controls: Ensure adherence to financial regulations, company policies, and internal control procedures, including segregation of duties, accurate record keeping, and compliance with audit requirements.
Minimum bachelor's degree in accounting, Finance, or a related field. Professional qualifications such as MIA, ACCA, CPA, CIMA, or equivalent will be an added advantage.
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AOl Technician responsible for operating, programming, and maintaining Automated Optical Inspection (AI) systems. The role combines technical troubleshooting, quality assurance, and collaboration with production teams.
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