Lead AI Architect for Scalable Legal Solutions

4 days ago


Singapore LAWNET TECHNOLOGY SERVICES PTE. LTD. Full time
About LawNet Technology Services
LawNet Technology Services (LTS) is a leading technology company behind Singapore's premier portal for legal research, information, and transactions. With over three decades of experience, LTS continues to enhance its services and content while maintaining affordable subscription rates, making it an essential resource for the legal community.

The Role
We are seeking an experienced technical leader to head our engineering team responsible for developing and managing LTS AI products and platforms. The successful candidate will lead a high-performing team in designing, developing, and deploying scalable and reliable AI solutions for the legal sector.

Key Responsibilities
  • Develop and direct the AI engineering team towards the deployment of cutting-edge AI products.
  • Design and deploy end-to-end solutions to support the reliable service of AI products to end-users.
  • Set and present technical direction adaptable to the evolving technological landscape.
  • Closely collaborate with stakeholders, including senior management, senior legal professionals, academics, and other engineering teams within the local AI ecosystem.
  • Coach the engineering team to ensure their professional growth and technological development.

Requirements
To succeed in this role, you must have:
  • A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Over 5 years of experience working in AI/ML engineering teams, with at least 2 years in a leadership capacity.
  • Proficiency in Python and AI/ML frameworks, such as PyTorch and TensorFlow.
  • Demonstrated experience in designing and developing scalable backend architectures.
  • Familiarity with natural language data processing techniques, tools, and libraries.
  • Experience with containerization (Docker) and orchestration techniques (Kubernetes).
  • Experience deploying solutions on cloud platforms, preferably with cloud certification.
  • A deep understanding and interest in Large Language Models (LLM) specific techniques, such as fine-tuning, prompt engineering, LLM testing, and evaluation metrics.
  • Excellent communication skills for conveying technical concepts to non-technical stakeholders.

Compensation Package
We offer a competitive salary range of $120,000 - $180,000 per annum, commensurate with your relevant experience and track record. A 2-year contract will be offered in the first instance. Please provide your resume, including details of your current monthly salary, total annual compensation package, and salary expectations.

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