JOB DETAILS

Machine Learning Engineer Lead, Vulcan

CompanyAIFT
LocationTaipei
Work ModeOn Site
PostedFebruary 8, 2026
About The Company
AIFT is a group of innovative businesses with a shared vision to become the security layer of the future, providing cybersecurity and insurance protection for digital mega trends including AI, Web3 and future lifestyles.​ ​ AIFT strategically identifies under-served markets within these mega trends where it can quickly make an impact and lead innovation.​ Our businesses include: - OneInfinity: http://oneinfinity.global - Vulcan: http://vulcanlab.ai - OneDegree: https://www.onedegree.hk/en-us - IXT: https://theixt.com/ - Cymetrics: https://cymetrics.io/en-us/ - OneSavie: https://www.linkedin.com/company/onesavie-lab/
About the 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; Reliability:</span></strong><span data-contrast="auto">&nbsp;Maintain&nbsp;rigorous monitoring for model drift and performance, ensuring high reliability in a production security environment.</span> </li> </ul> <p><strong><span data-contrast="auto">3. Cross-Functional Implementation &amp; Leadership:</span></strong></p> <ul> <li><strong><span data-contrast="auto">Platform Collaboration:</span></strong><span data-contrast="auto">&nbsp;Work closely with the&nbsp;</span><strong><span data-contrast="auto">Platform Engineering Team</span></strong><span data-contrast="auto">&nbsp;to integrate ML models into the broader product architecture. Ensure seamless interaction between model inference services and the main platform logic.</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">Team Leadership:</span></strong><span data-contrast="auto">&nbsp;Lead and mentor Machine Learning Engineers, fostering a culture of engineering rigor, code quality, and operational excellence.</span> </li> <li><strong><span data-contrast="auto">Resource Management:</span></strong><span data-contrast="auto">&nbsp;Manage GPU resources and compute budgets effectively for both training and inference workloads.</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">4. Technical Strategy &amp; Stakeholder Management:</span></strong></p> <ul> <li><strong><span data-contrast="auto">Translating Tech to Business</span></strong><span data-contrast="auto">: Act as the technical voice of the ML team. You must effectively explain complex ML concepts (e.g.,&nbsp;</span><strong><span data-contrast="auto">FLOPS,</span></strong><span data-contrast="auto">&nbsp;quantization&nbsp;trade-offs, model latency vs. accuracy) to&nbsp;</span><strong><span data-contrast="auto">executive leadership and clients.</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></li> <li><strong><span data-contrast="auto">Cost-Benefit Analysis:</span></strong><span data-contrast="auto">&nbsp;Justify compute resource investments. Articulate the trade-off between infrastructure costs (GPU hours) and performance gains to non-technical stakeholders.</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-ccp-props="{&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559739&quot;:240,&quot;335559740&quot;:240}">Qualifications</span></strong></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="15" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="auto">Experience:</span></strong><span data-contrast="auto">&nbsp;5+ years in Machine Learning Engineering, with specific experience in leading technical projects or mentoring engineers.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="15" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><strong><span data-contrast="auto">Communication &amp; Business Acumen:</span></strong><span data-contrast="auto">&nbsp;Exceptional ability to distill complex technical topics (e.g., compute complexity, infrastructure costs) into clear, business-relevant insights for decision-makers.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="15" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="3" data-aria-level="1"><strong><span data-contrast="auto">MLOps&nbsp;Proficiency:</span></strong><span data-contrast="auto">&nbsp;Proven experience in&nbsp;</span><strong><span data-contrast="auto">optimizing</span></strong><span data-contrast="auto">&nbsp;ML pipelines and infrastructure. Familiarity with tools like&nbsp;MLflow, Kubeflow, Airflow, and Data Versioning tools (DVC, etc.).</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="15" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="4" data-aria-level="1"><strong><span data-contrast="auto">Engineering First:</span></strong><span data-contrast="auto">&nbsp;Proficient in Python, Docker, and Kubernetes.&nbsp;You treat ML models as software artifacts that need testing and version control.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="15" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="5" data-aria-level="1"><strong><span data-contrast="auto">NLP &amp; LLM Expertise:</span></strong><span data-contrast="auto">&nbsp;Experience with Transformer architectures, Embeddings, and LLM fine-tuning. Familiarity with frameworks like&nbsp;PyTorch, Hugging Face, and&nbsp;vLLM.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="15" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="6" data-aria-level="1"><strong><span data-contrast="auto">Language Support:</span></strong><span data-contrast="auto">&nbsp;Experience processing or fine-tuning models for multi-lingual environments.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0}">&nbsp;</span></li> </ul> <h4><strong>Nice to Have</strong></h4> <ul> <li data-leveltext="" data-font="Symbol" data-listid="16" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="auto">Multimodal Expertise:</span></strong><span data-contrast="auto">&nbsp;Experience working with&nbsp;</span><strong><span data-contrast="auto">Multimodal models</span></strong><span data-contrast="auto">&nbsp;(Image-to-Text, Text-to-Image, VLMs like CLIP,&nbsp;LLaVA).</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="16" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><strong><span data-contrast="auto">Security Awareness:</span></strong><span data-contrast="auto">&nbsp;Understanding of&nbsp;GenAI security threats (e.g., Prompt Injection).</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="16" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="3" data-aria-level="1"><strong><span data-contrast="auto">High-Performance Computing:</span></strong><span data-contrast="auto">&nbsp;Experience&nbsp;optimizing&nbsp;inference speed (quantization, distillation,&nbsp;vLLM) for real-time applications.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="16" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="4" data-aria-level="1"><strong><span data-contrast="auto">Vector Database:</span></strong><span data-contrast="auto">&nbsp;Experience with Vector DBs for RAG applications.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0}">&nbsp;</span></li> </ul> <p>&nbsp;</p> <h3><strong><span data-contrast="auto">Other Benefits</span></strong><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:80,&quot;335559740&quot;:259}">&nbsp;</span></h3> <p><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:80,&quot;335559740&quot;:259}">To us, people are our greatest&nbsp;asset,&nbsp;and we are more than happy to invest in employees! We create a healthy work atmosphere and provide you with the tools and support for doing your job successfully. With a culture of flexibility and transparency, we believe there should be no barriers, and everyone’s contributions matter.&nbsp;</span></p> <p><strong><span data-contrast="auto">Work Life Balance is a must&nbsp;</span></strong><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="9" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">15 days annual leaves (pro-rata for partial month at first year)</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}">&nbsp;</span></li> <li data-leveltext="" data-font="Symbol" data-listid="9" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">5 days full-pay sick leaves,&nbsp;3 days menstrual leaves</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}">&nbsp;</span></li> <li data-leveltext="" data-font="Symbol" data-listid="9" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Health check subsidy</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}">&nbsp;</span></li> <li data-leveltext="" data-font="Symbol" data-listid="9" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Ergonomic-design chair and&nbsp;fully-equipped&nbsp;devices for work</span></li> <li data-leveltext="" data-font="Symbol" data-listid="9" data-aria-posinset="4" data-aria-level="1"><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:240,&quot;335559796&quot;:0,&quot;335559991&quot;:360}">Hybrid remote work and flexible working hour.</span></li> </ul> <p><strong><span data-contrast="auto">Grow together &amp; keep learning</span></strong></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="10" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto">Conferences &amp; external subsidy</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}">&nbsp;</span></li> <li data-leveltext="" data-font="Symbol" data-listid="10" data-aria-posinset="6" data-aria-level="1"><span data-contrast="auto">Learning clubs to share technical skill (e.g: Frontend/Backend tech sharing, Blockchain...etc)</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="auto">Work Hard, Play even Harder</span></strong><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="11" data-aria-posinset="7" data-aria-level="1"><span data-contrast="auto">Various entertainment &amp; sports clubs,&nbsp;attend basketball clubs today, and play board game tomorrow!</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}">&nbsp;</span></li> <li data-leveltext="" data-font="Symbol" data-listid="11" data-aria-posinset="8" data-aria-level="1"><span data-contrast="auto">Snacks &amp; beverage&nbsp;to refill your&nbsp;energy anytime</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}">&nbsp;</span></li> </ul>
Key Skills
Machine LearningModel DevelopmentMLOpsData InfrastructurePythonDockerKubernetesNLPLLMTransformer ArchitecturesMultimodal ModelsSecurity AwarenessHigh-Performance ComputingVector Database
Categories
TechnologyEngineeringData & AnalyticsSoftwareSecurity & Safety
Benefits
Annual LeaveSick LeaveHealth Check SubsidyErgonomic Design ChairFlexible Working HoursConferences SubsidyLearning ClubsSnacks and Beverages
Job Information
📋Core Responsibilities
Lead the Machine Learning team to develop and optimize machine learning models for GenAI security applications. Collaborate with cross-functional teams to integrate models into the product architecture and ensure operational excellence.
📋Job Type
full time
📊Experience Level
5-10
💼Company Size
32
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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