主頁       就業機會
INFORMATION SERVICES
AI Engineer (IS-AI-E)
申請方法
Duties
  • Design, develop, and implement end-to-end Generative AI solutions using Microsoft Copilot and Amazon Bedrock, focusing on practical, commercially viable use cases
  • Collaborate with product owners, data scientists, and other engineers to define requirements, design model architectures, and integrate AI models into existing systems and workflows
  • Utilize and fine-tune pre-trained models available through Microsoft Copilot and Amazon Bedrock, as well as other relevant foundation models, for specific business needs
  • Develop and maintain robust data pipelines for training, fine-tuning, and deploying AI models
  • Implement best practices for model evaluation, monitoring, and optimization in a production environment
  • Ensure the scalability, reliability, and performance of deployed AI applications
  • Stay up-to-date with the latest advancements in Generative AI, Microsoft Copilot, Amazon Bedrock, and related technologies
  • Troubleshoot and resolve issues related to model performance, deployment, and integration
  • Contribute to the development of our internal AI/ML MLOps practices and standards
  • Communicate technical concepts and results effectively to both technical and non-technical stakeholders
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
  • Proven experience (3+ years) in developing and deploying AI/ML models in a commercial environment
  • Hands-on experience with Generative AI concepts, models (e.g., LLMs, transformers), and their applications
  • Demonstrated experience in building and implementing solutions using Microsoft Copilot and/or Amazon Bedrock
  • Proficiency in programming languages commonly used in AI development (e.g., Python)
  • Experience with cloud platforms (Azure and/or AWS) and their AI/ML services
  • Solid understanding of the MLOps lifecycle and experience deploying models to production
  • Experience with API development and integration.
  • Strong problem-solving skills and the ability to work independently and as part of a team. Excellent communication and interpersonal skills
  • Familiarity with other Generative AI frameworks and libraries (e.g., Hugging Face, TensorFlow, PyTorch) would be an advantage