AI Implementation Specialist

About the Role We are looking for an innovative and driven AI Implementation Specialist to bridge the gap between cutting-edge artificial intelligence and our daily logistics operations. In this role, you will be the driving force behind integrating AI solutions—such as predictive analytics, computer vision for Transportation management, and document automation—into our existing supply chain ecosystems. You will not just be deploying technology; you will be transforming how we operate, making our logistics network smarter, faster, and more resilient. If you are passionate about applied AI and want to see your work have a tangible, physical impact on global supply chains, this is the role for you. Key Responsibilities Identify AI Opportunities: Collaborate with operations, warehousing, and customer service teams to identify bottlenecks where AI, Machine Learning (ML), or automation can drive efficiency. System Integration: Lead the deployment and integration of AI models and third-party AI tools (e.g., automated document processing, predictive maintenance for warehouse robotics, demand forecasting) into our existing IT infrastructure. Project Management: Manage the end-to-end lifecycle of AI implementation projects, from initial scoping and proof-of-concept (PoC) to full-scale deployment and user training. Data Pipeline Management: Work alongside data engineers to ensure that AI systems are fed with clean, reliable, and secure data from our Transportation Management Systems (TMS) tools. Change Management & Training: Act as the internal champion for AI adoption, creating user manuals, leading training sessions, and helping staff adapt to new AI-enhanced workflows. Performance Monitoring: Track the ROI and performance metrics of deployed AI systems, troubleshooting issues and optimizing models for continuous improvement. Required Skillset Technical Proficiency: Strong working knowledge of Python, SQL, and database management. AI/ML Knowledge: Solid understanding of applied AI concepts, particularly NLP (for processing shipping documents/customs forms), computer vision (for quality control/inventory tracking), and predictive analytics. Cloud & API Integration: Experience working with cloud ecosystems (AWS, Google Cloud, or Azure) and integrating RESTful APIs to connect AI platforms with legacy systems. Project Management: Proven ability to manage complex tech projects using Agile or Scrum methodologies. Cross-Functional Communication: Exceptional ability to translate complex technical AI concepts into clear, actionable business insights for non-technical stakeholders. Analytical Problem-Solving: A data-driven mindset with the ability to diagnose system integration issues quickly and efficiently. Qualifications & Experience Education: Bachelor’s degree in Computer Science, Data Science, Information Technology, Supply Chain Management, or a related field. Experience: 3+ years of experience in software implementation, technical consulting, or data systems deployment. Industry Knowledge: Proven experience working within the logistics, supply chain, or warehousing industry is highly preferred. AI Exposure: Hands-on experience implementing or scaling AI/ML products, SaaS platforms, or automation tools in a corporate environment. Language: English is required; Cantonese and Putonghua are preferred