About the role 

We are seeking an experienced Machine Learning Lead to helm our Machine Learning team. 

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 cutting-edge 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). 

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. 

Key Responsibilities

1. Model Development & Optimization (Training & Fine-tuning):

• Research to Production: Collaborate with the Security Research Team to operationalize new threat detection techniques. They identify the "what" (e.g., new prompt injection patterns); you determine the "how" (model architecture, training strategy). 
• Fine-tuning & Adaptation: Lead the fine-tuning of Language Models (e.g., using LoRA/PEFT) to optimize for our supported muti-lingual languages and specific security intents.
• Multimodal Readiness: Prepare the system for Multimodal (Text + Image/Audio) capabilities. Evaluate and implement models to detect visual prompt injections and non-textual threats as the product evolves. 

2. MLOps& Data Infrastructure: 

• Enhance & Scale MLOps: Take ownership of our existing ML pipelines. Focus on optimizing and scaling CI/CD/CT workflows to improve training efficiency and deployment velocity. 
• Data Governance: Implement and enforce rigorous Data Versioning strategies (e.g., DVC) to ensure complete reproducibility of model artifacts and datasets.
• Monitoring & Reliability: Maintain rigorous monitoring for model drift and performance, ensuring high reliability in a production security environment.

3. Cross-Functional Implementation & Leadership:

• Platform Collaboration: Work closely with the Platform Engineering Team to integrate ML models into the broader product architecture. Ensure seamless interaction between model inference services and the main platform logic. 
• Team Leadership: Lead and mentor Machine Learning Engineers, fostering a culture of engineering rigor, code quality, and operational excellence.
• Resource Management: Manage GPU resources and compute budgets effectively for both training and inference workloads. 

4. Technical Strategy & Stakeholder Management:

• Translating Tech to Business: Act as the technical voice of the ML team. You must effectively explain complex ML concepts (e.g., FLOPS, quantization trade-offs, model latency vs. accuracy) to executive leadership and clients. 
• Cost-Benefit Analysis: Justify compute resource investments. Articulate the trade-off between infrastructure costs (GPU hours) and performance gains to non-technical stakeholders. 

Qualifications

• Experience: 5+ years in Machine Learning Engineering, with specific experience in leading technical projects or mentoring engineers.
• Communication & Business Acumen: Exceptional ability to distill complex technical topics (e.g., compute complexity, infrastructure costs) into clear, business-relevant insights for decision-makers.
• MLOps Proficiency: Proven experience in optimizing ML pipelines and infrastructure. Familiarity with tools like MLflow, Kubeflow, Airflow, and Data Versioning tools (DVC, etc.).
• Engineering First: Proficient in Python, Docker, and Kubernetes. You treat ML models as software artifacts that need testing and version control.
• NLP & LLM Expertise: Experience with Transformer architectures, Embeddings, and LLM fine-tuning. Familiarity with frameworks like PyTorch, Hugging Face, and vLLM.
• Language Support: Experience processing or fine-tuning models for multi-lingual environments. 

Nice to Have

• Multimodal Expertise: Experience working with Multimodal models (Image-to-Text, Text-to-Image, VLMs like CLIP, LLaVA).
• Security Awareness: Understanding of GenAI security threats (e.g., Prompt Injection).
• High-Performance Computing: Experience optimizing inference speed (quantization, distillation, vLLM) for real-time applications.
• Vector Database: Experience with Vector DBs for RAG applications. 

Why Join Us? 

• Innovative Environment: Be part of a company at the forefront of technology to provide security in GenAI, with opportunities to work on groundbreaking projects. 
• Growth Opportunities: Take your career to new heights with our career development programs and growth-focused culture. 
• Dynamic Team: Join a multi-cultural and dynamic team of dedicated professionals who inspire and support each other. 
• Compensation: Competitive salary and benefits package, commensurate with experience and performance. 

Application Process 

• If you're ready to embark on this exciting journey and contribute to shaping the future of GenAI security, please submit your resume outlining your relevant experience and motivation for applying.
• If you prefer a direct connection or have specific questions about our vision, feel free to reach out to our Co-founder, Alvin Kwock, via LinkedIn. 

About Us

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.​  

Vulcan is AIFT’s latest groundbreaking product suite comprising GenAI security, safety, and compliance tools, from assessment through protection. 

If you are passionate about making a unique impact, as well as securing the future for enterprises through delivering cybersecurity for GenAI - one of the most disruptive and fastest-growing technology trends - this is the role for you.  

Learn more about how we deliver transformation at: https://vulcanlab.ai/   

Position Overview 

The Chief of Staff partners closely with the senior leadership team to drive alignment, strengthen execution, and ensure the company focuses on the highest-leverage priorities. This role blends strategy, communication, and cross-functional coordination. The ideal candidate thrives in ambiguity, adapts as the organization scales, and works comfortably across technical and operational domains within an AI safety and security context.  

Key Responsibilities 

1. Strategic Planning & Execution 

• Translate leadership priorities into clear, actionable plans across teams. 

• Support or lead cross-functional initiatives spanning engineering, product, safety, and operations. 

• Surface risks, dependencies, and decision points early. 

• Prepare strategic briefs, analyses, and materials to assist leadership decision-making. 

2. Senior Leadership Enablement 

• Filter and prioritize information, requests, and decisions for the leadership team. 

• Facilitate coordination across leaders to reduce friction and accelerate execution. 

• Ensure leaders are prepared for key meetings, milestones, and external engagements. 

• Represent leadership in internal or external settings when alignment or follow-through is needed. 

3. Operational Excellence 

• Build scalable systems for planning, communication, and execution as the company grows. 

• Improve operating cadences, including leadership syncs, retrospectives, and quarterly planning. 

• Identify and resolve organizational or operational bottlenecks. 

• Promote consistent, effective cross-team collaboration. 

4. Internal Communications & Culture 

• Draft internal updates, leadership communications, and planning documents. 

• Maintain coherent, transparent information flow across teams. 

• Reinforce a culture that balances speed, rigor, and accountability. 

5. Special Projects 

• Lead or support projects that intersect multiple teams or require high trust and structured execution. 

• Coordinate initiatives related to safety practices, security posture, partnerships, or research. 

• Run diligence and planning work for new opportunities or organizational changes 

Qualifications 

Required: 

• Experience in strategy, operations, consulting, product, or similar cross-functional roles. 

• Ability to understand and communicate technical concepts. 

• Strong writing, structuring, and analytical skills. 

• Demonstrated ability to manage complex initiatives involving multiple leaders or teams. 

• High discretion and strong judgment in sensitive or high-stakes situations 

Preferred: 

• Experience in early-stage, fast-paced environments. 

• Exposure to AI, cybersecurity, or research-heavy organizations. 

• Prior work with senior executives or technical leaders. 

 Why Join Us? 

• Innovative Environment: Be part of a company at the forefront of technology to provide security in GenAI, with opportunities to work on groundbreaking projects. 
• Growth Opportunities: Take your career to new heights with our career development programs and growth-focused culture. 
• Dynamic Team: Join a multi-cultural and dynamic team of dedicated professionals who inspire and support each other. 
• Compensation: Competitive salary and benefits package, commensurate with experience and performance. 

Application Process 

• If you're ready to embark on this exciting journey and contribute to shaping the future of GenAI security, please submit your resume outlining your relevant experience and motivation for applying.