Machine Learning Engineer Lead, Vulcan (Global)
Aift · Taipei, Hong Kong, Singapore, Japan, Abu Dhabi · 2026-05-13
About this role
<p><strong><span data-contrast="none">About the role</span></strong><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}">&nbsp;</span></p> <p><span data-contrast="none">We are seeking an experienced Machine Learning&nbsp;Lead&nbsp;to&nbsp;helm&nbsp;our Machine Learning team.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559739&quot;:240,&quot;335559740&quot;:240}">&nbsp;</span></p> <p><span data-contrast="none">In this pivotal role, you will be the engineering architect behind Vulcan’s core AI capabilities. You will act as the nexus between Research, Platform, and Product. Your mission is to translate&nbsp;cutting-edge&nbsp;findings on GenAI threats into robust, production-ready machine learning models that power our GenAI Security Guardrails (Blue Team) and Automated Vulnerability Assessment (Red Team).</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559739&quot;:240,&quot;335559740&quot;:240}">&nbsp;</span></p> <p><span data-contrast="none">Crucially, you will serve as the bridge between deep tech and business strategy, articulating technical constraints (like FLOPS and latency) to leadership and clients while guiding the engineering direction.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559739&quot;:240,&quot;335559740&quot;:240}">&nbsp;</span></p> <h4><strong>Key Responsibilities</strong></h4> <h4><strong><span data-contrast="auto">1. Model Development &amp; Optimization (Training &amp; Fine-tuning):</span></strong></h4> <ul> <li><strong><span data-contrast="auto">Research to Production:</span></strong><span data-contrast="auto">&nbsp;Collaborate with the&nbsp;</span><strong><span data-contrast="auto">Security Research Team</span></strong><span data-contrast="auto">&nbsp;to operationalize new threat detection techniques. They&nbsp;identify&nbsp;the "what" (e.g., new prompt injection patterns); you&nbsp;determine&nbsp;the "how" (model architecture, training strategy).</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559740&quot;:240}">&nbsp;</span></li> <li><strong><span data-contrast="auto">Fine-tuning &amp; Adaptation:</span></strong><span data-contrast="auto">&nbsp;Lead the fine-tuning of Language Models (e.g., using&nbsp;LoRA/PEFT) to&nbsp;optimize&nbsp;for&nbsp;our supported&nbsp;muti-lingual&nbsp;languages and specific security intents.</span></li> <li><strong><span data-contrast="auto">Multimodal Readiness:</span></strong><span data-contrast="auto">&nbsp;Prepare the system for&nbsp;</span><strong><span data-contrast="auto">Multimodal (Text + Image/Audio)</span></strong><span data-contrast="auto">&nbsp;capabilities. Evaluate and implement models to detect visual prompt injections and non-textual threats as the product evolves.</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559740&quot;:240}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="auto">2. MLOps&amp; Data Infrastructure:</span></strong><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559740&quot;:240}">&nbsp;</span></p> <ul> <li><strong><span data-contrast="auto">Enhance &amp; Scale&nbsp;MLOps:</span></strong><span data-contrast="auto">&nbsp;Take ownership of our existing ML pipelines. Focus on&nbsp;</span><strong><span data-contrast="auto">optimizing</span></strong><span data-contrast="auto">&nbsp;and scaling CI/CD/CT workflows to improve training efficiency and deployment velocity.</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559740&quot;:240}">&nbsp;</span></li> <li><strong><span data-contrast="auto">Data Governance:</span></strong><span data-contrast="auto">&nbsp;Implement and enforce rigorous&nbsp;</span><strong><span data-contrast="auto">Data Versioning</span></strong><span data-contrast="auto">&nbsp;strategies (e.g., DVC) to ensure complete reproducibility of model artifacts and datasets.</span></li> <li><strong><span data-contrast="auto">Monitoring &amp;…
Skills asked for
- machine learning
- helm
- ci/cd
- airflow
- python
- docker
- kubernetes
- nlp
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