Platform Engineer

2 weeks ago

Singapore LAWNET TECHNOLOGY SERVICES PTE. LTD. Full time

**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.

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