About this role
The lead will architect core AI capabilities, translating cutting-edge GenAI threat research into production-ready machine learning models for security guardrails and vulnerability assessment. Key duties include model development, optimizing MLOps pipelines, enforcing data governance, and leading the engineering team.
Candidates must have 5+ years in Machine Learning Engineering, exceptional communication skills to translate technical constraints to business leaders, and proficiency in MLOps, Python, Docker, Kubernetes, and LLM/Transformer expertise.
What they're looking for
Machine LearningEngineering LeadershipGenAIModel DevelopmentFine-tuningLoRAPEFTMultimodal
Frequently asked questions
What does a Machine Learning Engineer Lead, Vulcan (Global) at AIFT do?
The lead will architect core AI capabilities, translating cutting-edge GenAI threat research into production-ready machine learning models for security guardrails and vulnerability assessment. Key duties include model development, optimizing MLOps pipelines, enforcing data governance, and leading th…
What skills does this Machine Learning Engineer Lead, Vulcan (Global) role need?
Key skills for this role include Machine Learning, Engineering Leadership, GenAI, Model Development, Fine-tuning, LoRA.
How much does a Machine Learning Engineer Lead, Vulcan (Global) at AIFT pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Machine Learning Engineer Lead, Vulcan (Global) role remote, hybrid, or on-site?
This role is on-site, based in Taipei.
How do I apply for this Machine Learning Engineer Lead, Vulcan (Global) role?
You can apply directly on AIFT's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.