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

Open nowPosted 9 days ago

ML Engineer - Supply Chain AI

MyCareersFuture94,028 open roles

Pay
SGD 6,000 – SGD 9,000 a month
Where
Central, Singapore
Get the CV for this job

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

Your applicationOpen nowML Engineer - Supply Chain AIMyCareersFuture · Central, 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 MyCareersFuture'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.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 9 days ago

The posting

About The Company

Our client is an AI startup building intelligent supply chain solutions across Southeast Asia — from demand forecasting to inventory optimisation. They're a lean, engineering-first team that moves fast and gives engineers real ownership over the products they build.

The Role

They're looking for an ML Engineer to bridge the gap between data science and production — taking models built by their data science team and operationalising them into reliable, scalable systems. This is a hands-on role sitting at the intersection of ML engineering and platform infrastructure.

This is a greenfield opportunity — you'll be shaping how they build and operate ML systems from the ground up, with direct impact on a product used by major retailers across SEA.

What You'll Do

  • Own the deployment and operationalisation of ML models into production — building the infrastructure that takes models from development to live business systems
  • Build and maintain ML platform tooling — experiment tracking, model versioning, model registry, and automated deployment pipelines using tools like MLflow and Airflow
  • Implement model monitoring and drift detection to ensure production models stay accurate over time
  • Build automated retraining pipelines so models stay relevant as data patterns change
  • Work closely with data scientists to build self-serve tooling that enables them to deploy and iterate on models independently
  • Deploy and manage ML workloads on cloud platforms (AWS, GCP, or Azure) using Docker, Kubernetes, and CI/CD pipelines

What We're Looking For

  • 2–5 years of hands-on experience in ML engineering or a closely related role
  • Practical experience deploying ML models into production — not just building or training them
  • Hands-on experience with ML lifecycle tools — MLflow, Airflow, Kubeflow, SageMaker, Vertex AI, or similar
  • Understanding of model monitoring and drift detection in production environments
  • Comfortable with Docker, Kubernetes, and CI/CD pipelines
  • Cloud experience on AWS, GCP, or Azure
  • Strong Python skills with solid software engineering fundamentals

Bonus points for:

  • Experience with supply chain AI — demand forecasting, inventory optimisation, or similar
  • Familiarity with traditional ML models (time-series forecasting, gradient boosted trees, optimisation) rather than purely GenAI/LLM work
  • Experience with constraint programming tools like Google OR-Tools
  • Infrastructure as code experience (Terraform, Helm)
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 MyCareersFuture'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 MyCareersFuture'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

    MyCareersFuture'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

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

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.