ML Ops Engineer — Autonomous Driving Platform

Wingfin Singapore; Kuala Lumpur; Hybrid; MYR 120,000 - 180,000; Full time

Job summary

Wingfin Singapore is seeking an ML Operations Engineer to build and run the infrastructure turning driving data into trained models. You will oversee production ML platforms, data and HPC workloads across Malaysia or Singapore, ensuring fast, reliable and reproducible training pipelines.

You will manage in-house and cloud GPU capacity, data pipelines and large-scale storage, while maintaining rigorous versioning, logs and runbooks for smooth handovers and reproducibility.

Qualifications

• Bachelor's degree or higher in Computer Engineering, Computer Science or a related field.
• 3+ years building or operating production infrastructure for ML, data, trading or HPC workloads.
• Strong Python. Linux, shell and networking: SSH, reverse proxies, ports, TLS.
• Cloud GPU platforms (AWS, GCP, Azure) with object storage.
• GPU marketplaces like Vast.ai.
• Cloudflare R2 object storage, DNS and Tunnels.
• Docker and Kubernetes.
• Relational databases (PostgreSQL, MySQL).
• GPU environments: CUDA, drivers and multi-GPU machines.
• Use of modern AI tools for coding, debugging, operations.
• Ownership through to completion.
• Excellent attention to detail.

Responsibilities

• Training platform: Run and extend the platform to submit, schedule and track training jobs.
• GPU compute: Operate in-house and cloud GPU capacity, scheduling, access and cost reporting.
• Data pipelines: Turn raw vehicle recordings into validated, training-ready datasets.
• Storage: Manage large-scale data storage and transfer between sites and cloud.
• Deployment automation: Automate deployment and upgrades of services without interrupting jobs.
• Reproducibility: Track experiments, datasets and model artefacts for full traceability.
• Model packaging: Package trained models for simulation, testing and deployment.
• Observability: Monitoring, logging and alerting for jobs, machines and pipelines.
• Documentation: Runbooks and handovers for operations.

Skills

Python

Linux

Shell scripting

Networking

Cloud GPU platforms

GPU marketplaces

Docker

Kubernetes

PostgreSQL

MySQL

CUDA

AI tools

Ownership

Attention to detail

Education

Bachelor's degree or higher in Computer Engineering, Computer Science or related field

Tools

Cloudflare

R2 object storage

AWS

GCP

Azure

Job description

Wingfin Singapore is seeking an ML Operations Engineer to build and run the infrastructure turning driving data into trained models. You will oversee production ML platforms, data and HPC workloads across Malaysia or Singapore, ensuring fast, reliable and reproducible training pipelines.

You will manage in-house and cloud GPU capacity, data pipelines and large-scale storage, while maintaining rigorous versioning, logs and runbooks for smooth handovers and reproducibility.