Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

You will join the Production Support team in Hong Kong, providing support to QRT’s trading and research teams. In this role, you will be responsible for delivering prompt user support, investigating and resolving issues affecting production data, onboarding data extraction processes, and liaising with internal and external teams to ensure the effective day-to-day management of QRT’s infrastructure. 

What you will do:

• Provide support for QRT’s system infrastructure
• Use cloud platforms to create and monitor data jobs and processes 
• Support data systems and tasks running on Windows & Linux environments 
• Ensure production and research data systems are stable and available, with all critical data tasks completed before the start of each trading day 
• Collaborate with production support teams and developers to investigate and resolve issues quickly 
• Support the release management process ensuring stability of the production environment 
• Maintenance and support of static databases and supporting processes 
• Develop monitoring tools to improve visibility, reliability, and automation of processes. 
• Evening/weekend support requirements (normally, through remote access) 

Requirements

• Minimum 3 years in a support role 
• 2+ years of experience with Bash, PowerShell, Git, Python scripting 
• Basic understanding of cloud services 
• Excellent problem solving and highly effective analytics capabilities required 
• Must have a keen focus on ownership of issues and commitment to resolving them 
• Excellent written and oral communication skills are essential 
• Expert windows desktop and server administration experience is essential 
• High level of Linux OS experience is essential 
• Expert relational database skills (in order of preference: SQL Server, Postgres) are essential 

Good-to-have:

• Experience managing the expectations of Front Office traders and senior management 
• Knowledge of Equities, Futures, Commodities and FX asset classes 
• Knowledge of market data feed handlers and execution feeds 
• Knowledge of market-making/liquidity provision and algorithmic trading 

• 3+ years of backend development in Python, Go, or Java
• End-to-end LLM Agent production experience with depth in architecture design, hallucination handling, and tool-call fault tolerance
• Hands-on AI security knowledge — Prompt Injection, Jailbreak, malicious agent injection, tool misuse — with production-ready defensive solutions
• Production experience with at least one of LangChain, LlamaIndex, AutoGen, CrewAI, or LangGraph
• Proficiency with Docker, Kubernetes, and microservice architecture

• SAST/SCA or code auditing tool experience 
• LLM fine-tuning or local model deployment; security-domain fine-tuning is a strong plus
• Open source agent projects on GitHub or merged PRs to mainstream LLM frameworks
• CTF awards or CVE/CNVD submission records

We are seeking a talented and innovative Synthetic Data Engineer. In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data management for training loops. Your expertise will drive the success of data processing and model training within the organization.

Responsibilities:

• Design domain-specific synthetic data generation (SDG) pipelines via self-instruct and constitutional prompting.
• Implement automated quality scoring and de-duplication systems.
• Manage data pipelines that feed directly into SFT and DPO training loops.

Qualifications:

• Proven experience building large-scale data pipelines (Airflow, Spark, Ray).
• Deep knowledge of prompt engineering for data generation.
• Familiarity with dataset distillation and bias mitigation.

Who We Are

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

About the Opportunity

What You’ll Be Doing 

What We Look For In You 

Nice to Haves

Perks & Benefits

• Competitive total compensation package
• L&D programs and Education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!

Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.

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. 

Who We Are

Build. Scale. Sustain. 

We are a global technology consultancy with a trademarked, AI-first engineering approach for accelerating the delivery of digital products, and revolutionizing platform modernization. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally: 5 continents, 10 countries, +500 experts from +50 nationalities across the Americas, Europe and APAC
• We are robust and resilient: 100% independent and 0 debt
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

About Gen-e2^TM

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Leveraging our 16 years expertise in digital transformation, our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents:

• We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design powered by GitHub Copilot.
• The quality consistently exceeds the output of our best traditional engineering teams.
• A product repository houses all product artefacts, giving AI full project context for higher-quality generation.
• A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability.
  With Gen-e2^TM, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

Your Role

You will leverage your software development expertise alongside cutting-edge AI tools to accelerate development cycles and drive innovation. As a key member of our engineering team, you'll use your talents in software development, application architecture, and problem-solving to create rapid prototypes and production-ready solutions. You'll harness AI-powered development tools to enhance code quality, automate routine tasks, and expedite delivery while maintaining high engineering standards.

Working closely with project teams and business stakeholders, you'll provide technical expertise that enables innovation through both traditional development practices and AI-augmented workflows. Your outstanding interpersonal skills will help you build or be part of a high-performing engineering team that consistently exceeds expectations by effectively combining human expertise with AI capabilities.

Your Responsibility

• Drive Fullstack development with AI-augmented practices.
• Ensure code quality through testing, code reviews, and AI-assisted analysis.
• Understand DevOps workflows and implement CI/CD automation pipelines.
• Design high-performance, scalable solutions using AI-powered approaches.
• Identify and implement opportunities for AI enhancement in applications.
• Leverage AI tool to troubleshoot and resolve technical issues efficiently.
• Stay current with emerging AI technologies and development practices.

Your Profile

As our company transitions into an AI-focused firm, all developers are expected to demonstrate proficiency in AI-augmented development practices. We are looking for a creative, self-motivated individual with the following qualifications and qualities:

• Deep technological expertise and a strong software development background.
• Experience in developing scalable, reliable, and secure applications
• Proficiency in working with AI coding assistants (e.g., GitHub Copilot, Cursor, ...) for code generation and problem-solving.
• Understanding of prompt engineering principles for optimal AI tool interaction.
• Ability to effectively collaborate with AI tools while maintaining code quality and adherence to best practices.
• Critical thinking to validate and verify AI-generated code and solutions.
• Adaptability and willingness to continuously learn and stay updated with the rapidly evolving AI landscape.
• Excellent interpersonal and cross-group collaboration skills.
• Independent thinker with a strong work ethic.
• Detail-oriented and excellent organizational skills.
• Possess excellent communication skills.
• Strong understanding of common programming patterns and principles.
• Strong team player.
• Strong troubleshooting skills and ability to meet deadlines.
• At least 8 years of relevant experience. Preferred technologies include ReactJS for frontend development and NodeJS/Java/Python/PHP for backend development.

Candidates with experience in one or more of the following are preferred:

• Solution Architecture
• AI/ML Services and Frameworks
• Cloud Computing Platforms (Azure, AWS, GCP, etc...)
• Native Mobile Development (iOS, Android)
• Hybrid Mobile Development (Flutter, React Native)

More About PALO IT

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company 
• Deliver projects with a positive impact
• Train 100% of our workforce on impact 
• Achieve B Corp certification among all our offices across the globe 
• Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training
• Entrepreneurship & intrapreneurship

For more on our team culture and benefits, check out our careers page.

To learn more about our team culture and benefits, visit our careers page. If you resonate with our values, we look forward to connecting with you!

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race or ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other legally protected status.

Information provided by applicants will be for recruitment purposes within PALO IT and only the short-listed candidates will be contacted.

For further information on our company, please visit our website: https://www.palo-it.com/en-hk/

Who We Are

Build. Scale. Sustain. 

We are a global technology consultancy with a trademarked, AI-first engineering approach for accelerating the delivery of digital products, and revolutionizing platform modernization. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally: 5 continents, 10 countries, +500 experts from +50 nationalities across the Americas, Europe and APAC
• We are robust and resilient: 100% independent and 0 debt
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

About Gen-e2^TM

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Leveraging our 16 years expertise in digital transformation, our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents:

• We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design powered by GitHub Copilot.
• The quality consistently exceeds the output of our best traditional engineering teams.
• A product repository houses all product artefacts, giving AI full project context for higher-quality generation.
• A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability.
  With Gen-e2^TM, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

YOUR ROLE:

As a DevOps Engineer, you will be responsible for designing, building, and maintaining scalable and reliable cloud infrastructure using AWS/Azure/Openstack/Kubernetes. You will apply DevOps practices and solutions, conduct client workshops to identify challenges, develop transformation roadmaps, and deliver technical solutions. Additionally, you will coach delivery teams on DevOps best practices and approach projects with an engineering consultant mindset, providing expert guidance and strategic consulting to clients.

Working closely with project teams and business stakeholders, you'll provide technical expertise that enables innovation through both traditional development practices and AI-augmented workflows. Your outstanding interpersonal skills will help you build or be part of a high-performing engineering team that consistently exceeds expectations by effectively combining human expertise with AI capabilities.

YOUR RESPONSIBILITIES

• Provide customers with reliable and scalable cloud solutions using AWS, Azure, and Kubernetes.
• Design, build, configure, maintain, and support cloud infrastructure.
• Implement and support various CI/CD, security, and testing tools.
• Develop multi-stage CI/CD pipelines to enable faster and frequent releases to production; assist delivery teams in automating their build and deployment processes.
• Document and share knowledge on developed DevSecOps solutions.
• Conduct client workshops to identify challenges, develop transformation roadmaps, and deliver technical solutions.
• Collaborate with clients and other PALO IT teams to understand client requirements, design comprehensive end-to-end approaches, and implement DevOps solutions that meet client needs.
• Approach projects with an engineering consultant mindset, providing expert guidance and strategic consulting to clients.
• Utilize AI development tools such as GitHub Copilot and Cursor to enhance development processes and improve efficiency.

YOUR PROFILE

As our company transitions into an AI-focused firm, all developers are expected to demonstrate proficiency in AI-augmented development practices. We are looking for a creative, self-motivated individual with the following qualifications and qualities:

• Proficiency in working with AI coding assistants (e.g., GitHub Copilot, Cursor) for code generation and problem-solving.
• Understanding of prompt engineering principles for optimal AI tool interaction.
• Ability to effectively collaborate with AI tools while maintaining code quality and adherence to best practices.
• Critical thinking to validate and verify AI-generated code and solutions.
• Adaptability and willingness to continuously learn and stay updated with the rapidly evolving AI landscape.
• Deep understanding of cloud computing technologies, deployment, costing, HA/DR, etc.
• Ability to coach delivery teams on DevOps principles (e.g., CI/CD, test automation, release automation) and engineering practices (e.g., TDD, BDD).
• Proficiency with public cloud platforms such as AWS and Azure. Strong exposure to container technologies (e.g., Docker, Kubernetes, AWS EKS, AKS).
• Hands-on experience with automation and infrastructure-as-code using tools like Terraform, AWS CloudFormation, SAM, ARM, and Bicep.
• Experience in developing and implementing processes for handling releases from development to operations, including rollback solutions.
• Hands-on experience in designing, developing, and migrating CI/CD pipelines (e.g., GitHub Actions, Azure DevOps Pipelines).
• Good understanding of microservice and event-driven architectures and DevSecOps practices for complex distributed systems.
• Proficiency in setting up and configuring monitoring tools (e.g., ELK, Prometheus, Grafana, Splunk) and security tools (SAST, DAST, etc.).
• Strong RDBMS and NoSQL skills in deploying and fine-tuning databases such as MySQL, Oracle, and Elasticsearch.
• 6-10 years of experience in platform automation, applying various DevOps principles.

More About PALO IT

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company 
• Deliver projects with a positive impact
• Train 100% of our workforce on impact 
• Achieve B Corp certification among all our offices across the globe 
• Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training
• Entrepreneurship & intrapreneurship

For more on our team culture and benefits, check out our careers page.

To learn more about our team culture and benefits, visit our careers page. If you resonate with our values, we look forward to connecting with you!

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race or ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other legally protected status.

Information provided by applicants will be for recruitment purposes within PALO IT and only the short-listed candidates will be contacted.

For further information on our company, please visit our website: https://www.palo-it.com/en-hk/