Senior AI Solutions Architect

4 weeks ago

Singapore LAWNET TECHNOLOGY SERVICES PTE. LTD. Full time
Roles & Responsibilities

ABOUT US

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.


LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.


Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.


POSITION

Senior AI Solutions Architect


REPORTING STRUCTURE

The Senior AI Solutions Architect will report directly to the Chief Executive of LawNet Technology Services (LTS).


ABOUT THE ROLE

We are seeking an experienced technical manager to lead our engineering team. This team is responsible for the development of LTS AI products and management and optimisation of the platform supporting these developments. The role entails leading an engineering team towards the ongoing design, development and deployment of custom Large Language Models and the design and development of AI products that leverage these models.


RESPONSIBILITIES

  • Develop and direct a high performing AI engineering team towards the deployment of scalable and reliable AI products for the legal sector.
  • Design and deploy end-to-end solutions to support the reliable service of the AI products to endusers.
  • Set, justify and present technical direction that is adaptable to continually evolving technological landscape.
  • Collaborate closely with stakeholders, including senior management, senior legal professionals, academics, as well as other engineering teams within the local AI ecosystem.
  • Coach engineering team to ensure their professional growth and technological development.


SKILLS AND QUALIFICATIONS

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
  • Over 5 years of experience working as part of an AI/ML engineering team in a production environment, with at least 2 years in a leadership capacity.
  • Proficiency in Python and AI/ML frameworks (e.g. PyTorch, Tensor Flow).
  • Demonstrated experience in designing and developing scalable backend architectures.
  • Familiarity with natural language data processing techniques, tools and libraries.
  • Experience with containerization (Docker) and familiarity with orchestration techniques (Kubernetes).
  • Experience deploying solutions on cloud platforms, preferably with cloud certification.
  • Deep understanding and interest in LLM specific techniques, such as fine-tuning, prompt, engineering, LLM testing, and development of evaluation metrics, quantisation, PEFT.
  • Excellent communication skills for conveying technical concepts to non-technical stakeholders.


The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.


Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.


Tell employers what skills you have

Excellent Communication Skills
Machine Learning
Tape
Mac
Kubernetes
Legislation
Architect
Legal Research
Technical Direction
Replication
PyTorch
Windows Operating Systems
Python
Containerization
Strong presentation skills
Docker
Orchestration
People Management Experience

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