Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 4 days ago

Senior AI Engineer (AISG-SAF AI Center)

NATIONAL UNIVERSITY OF SINGAPORE

Pay
SGD 5,000 – SGD 8,000 a month
Where
West, Singapore
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior AI Engineer (AISG-SAF AI Center)NATIONAL UNIVERSITY OF SINGAPORE · West, Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on NATIONAL UNIVERSITY OF SINGAPORE's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted 4 days ago

The posting

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Senior-AI-Engineer-%28AISG-SAF-AI-Center%29/31657-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

AISG is a national initiative driven by the Ministry of Digital Development and Information (MDDI), the Infocomm Media Development Authority (IMDA), and the National Research Foundation, Singapore (NRF).

AISG brings together Singapore-based research institutions and the broader ecosystem of AI start-ups and companies to support impactful research, develop talent and power Singapore's AI efforts. For more information on AI Singapore, please visit https://www.aisingapore.org

AI Singapore (AISG) in partnership with the SAF AI Centre (SAIC), is seeking an experienced AI engineer to develop and deploy AI solutions while strengthening the SAF workforce’s AI engineering capabilities through technical mentorship, training and professional development.

SAIC is a unit within the Digital and Intelligence Service, dedicated to addressing SAF's operational data science challenges and operationalising AI solutions. As the centre of excellence for AI, SAIC enhances the operational capabilities of SAF, driving productivity and efficiency through innovative AI solutions that advance SAF's defence capabilities.

Duties & Responsibilities

In this role, you will: • Develop AI solutions from problem scoping and data preparation through model evaluation, integration and deployment. • Build and enhance machine learning pipelines, LLM applications, retrieval-augmented generation (RAG) systems and agent workflows. • Apply sound engineering practices, including automated testing, CI/CD, model monitoring, documentation and version control. • Provide technical consultancy and mentor engineers through pair programming, code reviews and architecture discussions. • Develop training materials, refresh onboarding curricula and contribute to quarterly AI workshops and knowledge-sharing sessions. • Support the development of job-skills-proficiency mappings, competency assessments and professional and ethical standards. • Guide engineers in developing practical project portfolios and preparing for AI engineer certification. • Contribute to the partnership’s AI solution deployment targets and effective knowledge transfer to project teams.

Qualifications

• Bachelor’s Degree in Computer Science, Engineering, Data Science or a related discipline, or equivalent practical experience. • Minimum 3 years of relevant experience in software engineering, Machine Learning engineering or applied AI experience, including production deployment. • Proficiency in Python programming and familiarity with ML frameworks such as PyTorch, TensorFlow or scikit-learn. • Good understanding of machine learning fundamentals, data pipelines and model evaluation. • Familiarity with software development tools and practices, including Git, Docker, CI/CD pipelines, and API integration, would be advantageous. • Strong communication and interpersonal skills, with the ability to collaborate effectively with both technical and non-technical stakeholders. • Interest in knowledge sharing, mentoring, and facilitating technical learning or training activities. • Singapore citizenship is required for this position due to project-specific security requirements.

Posting text belongs to the employer. Removal requests: contact us.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against NATIONAL UNIVERSITY OF SINGAPORE's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on NATIONAL UNIVERSITY OF SINGAPORE's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    NATIONAL UNIVERSITY OF SINGAPORE's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.