- 77 HIGH STREET Central Region (Singapore) Singapore

工作地点
职位描述
岗位职责
Job Description
· We are seeking an experienced AI Solution Architect / Senior AI Engineer with over 4 years of hands-on experience in designing, developing, and deploying AI solutions.
· The ideal candidate will have strong expertise in Python, Azure AI, Machine Learning, and cloud technologies, with experience in building scalable AI applications, including video analytics solutions.
Key Responsibilities
· AI Solution Architecture & Delivery Lead the architecture, design, and end-to-end implementation of AI solutions.
· Develop, optimize, and deploy AI models using Python and cloud AI services.
· Design and integrate AI-based video analytics and video processing solutions.
· Ensure AI applications are scalable, secure, reliable, and high-performing.
· Cloud & Platform Engineering Design and deploy AI solutions on Microsoft Azure and other cloud platforms.
· Implement edge AI solutions where applicable.
· Apply DevOps practices for AI model deployment, CI/CD, monitoring, and maintenance.
· Stakeholder Collaboration Collaborate with business stakeholders to identify AI opportunities.
· Participate in requirement gathering and review functional specifications.
· Work closely with technical leads to ensure solutions align with enterprise architecture standards.
· Quality & Governance Conduct code reviews and participate in peer reviews.
· Ensure compliance with security standards, coding best practices, and project governance.
· Leadership & Innovation Mentor junior AI Engineers and Data Scientists.
· Stay updated on emerging AI technologies and industry best practices.
· Drive continuous improvement and innovation initiatives.
Required Skills & Experience
· 4+ years of hands-on experience in AI/ML solution development.
· Strong programming experience in Python.
· Hands-on experience with Microsoft Azure AI Services.
· Experience with TensorFlow and/or PyTorch. Experience building AI solutions involving Video Analytics/Computer Vision.
· Knowledge of AI deployment, MLOps, and DevOps practices.
· Experience working in Agile environments.
· Strong analytical, communication, and leadership skills.
· Azure AI Engineer Associate Certified Artificial Intelligence Professional (CAIP)
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