Platform Engineer

3 months ago

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

About the role:

As a Platform Engineer at LTS, you will play a crucial role in developing and enhancing our AI-driven products and services. Security is paramount to our success. We're seeking a highly skilled AWS Security & Platform Engineer to join our team and play a critical role in building, maintaining, and scaling a secure and reliable AWS infrastructure that supports our custom LLMs.


Responsibilities:

  • Design, develop, and implement NLP systems and algorithms for understanding, generating, and interpreting human language data.
  • Engage in data engineering tasks, including data collection, preprocessing, and augmentation to ensure high-quality datasets for model training.
  • Develop from scratch and fine-tune both traditional NLP and LLM models on LTS cloud infrastructure, optimizing for safety and performance (via benchmarks).
  • Collaborate with domain experts and carry out independent research to optimise and develop product evaluation suites to measure model and product performance.
  • Collaborate with AI and MLOps Engineers to integrate NLP models into automated pipelines.
  • Stay abreast of the latest NLP techniques and methodologies, experimenting with new models and approaches to maintain our competitive edge.
  • Conduct rigorous testing and validation of NLP models to ensure robustness and reliability.
  • Document and present model development processes, results, and insights to both technical and non-technical stakeholders.

Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience) with a strong focus on security.
  • Proven experience in designing, deploying, and managing secure cloud infrastructure on AWS.
  • In-depth understanding of AWS security services and best practices (e.g., least privilege, defense in depth).
  • Experience with container security principles and tools (e.g., container image scanning, runtime security).
  • Experience with Infrastructure as Code (IaC) tools and secure coding practices.
  • Experience with cloud monitoring and logging solutions (e.g., CloudWatch) with a focus on security logs.
  • Experience with data security best practices and tools for data encryption and access control on AWS.
  • Experience with optimizing costs in AWS environments while maintaining a strong security posture.
  • AWS certifications desirable (e.g., AWS Certified Solutions Architect - Associate, AWS Certified Security - Specialty).
  • Excellent problem-solving and analytical skills with a strong security mindset.
  • Strong communication and collaboration skills.

Job seekers who are interested can apply with their resume, indicating their nationality, and current/last drawn and expected salaries.


Tell employers what skills you have

CloudWatch
Cyber Security
AWS
data encryption
Data Security
NLP
Data Engineering
Cloud Infrastructure
language models
Network Security

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