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2 weeks ago
Job Purpose We are seeking a highly skilled and motivated AI Engineer to join our SMRT team and drive innovation in the transport sector. The ideal candidate will have deep expertise in AI engineering practices, a strong background in transportation systems, and hands-on experience with Microsoft Azure Cloud, Azure AI services, Large Language Models (LLMs), and advanced analytics techniques. This role is crucial for managing the end-to-end deployment of AI solutions and ensuring their effectiveness through rigorous use case validation within the SMRT operational context. Responsibilities Design, build, and deploy end-to-end AI solutions specifically tailored for SMRT\'s transport domain, leveraging Microsoft Azure AI services. Lead the deployment and integration of AI models into existing SMRT operational systems, ensuring seamless functionality and performance. Work closely with SMRT\'s operational teams to validate AI use cases, ensuring solutions address critical business needs and deliver tangible value. Develop predictive models for smart maintenance of SMRT assets, route optimization for our transport networks, and demand forecasting for passenger flow. Collaborate with SMRT\'s data engineers and transport domain experts to curate, prepare, and integrate large-scale datasets relevant to our operations. Implement and fine-tune Large Language Models (LLMs) using Azure OpenAI and other relevant Microsoft services for operational automation, intelligent assistance for staff, and enhanced customer interactions. Leverage Azure AI and analytics services (e.g., Azure Machine Learning, Azure Synapse Analytics, Azure Data Factory) for scalable deployment, monitoring, and MLOps of AI solutions. Build interactive dashboards and analytical tools using Power BI/Open-source UI to provide actionable insights to SMRT\'s operations and management teams. Ensure responsible AI practices are embedded in all solutions, maintaining comprehensive documentation for model explainability, auditability, and compliance with SMRT\'s standards Qualifications & Work Experience Bachelor\'s or master\'s degree in Computer Science, Data Science, Artificial Intelligence, or related technical field. 5+ years of progressive experience in AI engineering roles, with a significant portion preferably within the public transport or logistics domain, demonstrating a clear understanding of operational challenges. Skills Proven hands-on experience with Microsoft Azure AI services, including Azure Machine Learning, Azure Synapse Analytics, Azure OpenAI, Azure Cognitive Services, and Azure Data Factory. Strong knowledge of Large Language Models (e.g., GPT, BERT) and NLP pipelines, including practical experience with custom fine-tuning and deployment within an enterprise environment. Expertise in developing and managing end-to-end AI/ML pipelines, encompassing data ingestion, model training, rigorous evaluation, deployment, and continuous monitoring (MLOps). Solid understanding of transport operations, predictive maintenance strategies, asset optimization, and operational efficiency within a large-scale public transport setting. Proficiency in Python for AI/ML development, SQL for data manipulation, and experience with Power BI or other tools for data visualization. Excellent communication, collaboration, and stakeholder engagement skills, with the ability to translate complex technical concepts into clear business insights for SMRT\'s diverse teams. We regret that only shortlisted candidates will be notified. #J-18808-Ljbffr
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