Principal ML Engineer

We are looking for a Principal Machine Learning Engineer to build and improve the core ML systems behind its consumer applications, spanning LLMs, agents, long running workflows, persistent context and memory, tool use, inference and evaluation.

This is a hands on individual contributor role with technical leadership responsibility, working closely with Research and Application Engineering to take complex ML problems from experimentation into production.

What you will do

• Experimentation and evaluation through deployment and ongoing improvement
• Build reliable model and agent capabilities that support real product experiences
• Develop evaluations to understand model behaviour, measure quality and identify failures
• Improve production performance across latency, reliability, safety and cost
• Apply training, fine tuning or inference improvements where they solve the problem
• Set technical direction within your area, mentor engineers and stay close to implementation

What we are looking for

• Excellent Python skills, strong ML fundamentals and practical experience with PyTorch or JAX
• Personal ownership of production ML systems, including implementation, deployment and operation
• Ability to independently solve complex, ambiguous ML problems and ship measurable improvements
• Strong understanding of evaluation, model behaviour and production trade offs
• Robust software engineering practices and the ability to collaborate across research and product engineering

Experience that would strengthen your application

• LLM or agent systems, persistent memory, tool use or long running workflows
• Model training, fine tuning, alignment or distillation for real products
• Scalable inference, distributed training or serving, quantisation or GPU optimisation
• Evaluation systems that improve model quality, robustness or safety

We welcome engineers with particular depth in inference, evaluation or applied ML, as well as those specialising in training and fine tuning.

Please reach out to me via isabelle.ho@nicollcurtin.com with your contact number and resume (in Microsoft word format) should you be interested.

(Tip for a successful consideration: As you prepare your application, we encourage you to carefully review the requirements associated with this role to ensure eligibility. To support a meaningful assessment of your fit, your resume should provide clear, detailed examples of your contributions, measurable impact, and relevant commercial experience that align with the role’s criteria. Please be aware that we rely solely on the information presented in your application - if specific experience or achievements are not included, we are unable to infer or assume them.)

Lastly, we will be only be able to consider candidates who are currently based in Singapore.

Senior KDB Developer | Front Office Trading

Singapore or Hong Kong | Permanent Role | Hybrid Work Arrangement

We are working with a global technology consulting firm looking for an experienced KDB Developer to join its front office banking technology team.

You will work within a trading environment supporting a major global investment bank, building and enhancing systems used across the front office.

What you will be doing

• Develop and enhance applications using Q/KDB+
• Build solutions supporting front office trading workflows
• Analyse complex business and system requirements and translate them into technical solutions
• Establish strong standards across coding, testing, debugging and implementation
• Work closely with engineering, architecture, infrastructure and business stakeholders
• Investigate production and system issues and develop practical solutions
• Contribute to system enhancements supporting new products and trading processes

What we are looking for

• 5+ years of software development with Strong hands on Q/KDB+ development experience
• Previous experience within trading, capital markets or front office banking technology
• Strong Linux and shell scripting knowledge
• Good understanding of the complete SDLC
• Ability to independently analyse complex systems and technical problems
• Strong communication skills when working with technical and business stakeholders
• Candidates coming from investment banks, hedge funds, market makers or electronic trading environments will be advantageous. 

Please reach out to me via isabelle.ho@nicollcurtin.com with your contact number and resume (in Microsoft word format) should you be interested.

(Tip for a successful consideration: As you prepare your application, we encourage you to carefully review the requirements associated with this role to ensure eligibility. To support a meaningful assessment of your fit, your resume should provide clear, detailed examples of your contributions, measurable impact, and relevant commercial experience that align with the role’s criteria. Please be aware that we rely solely on the information presented in your application - if specific experience or achievements are not included, we are unable to infer or assume them.)

Lastly, we will be only be able to consider candidates who are currently based in Singapore or Hong Kong and have full working rights.

AI Product Manager

The Opportunity

You will work at the intersection of AI agents, automation and real business challenges. Partnering closely with engineers, data scientists and business stakeholders, you will own and deliver AI products used by global users at scale.

Projects include AI powered operational tools, intelligent agents, automated workflows and platforms supporting real time interactions. This is a hands on role where you will write code, prototype ideas and work directly with users to understand and resolve issues.

Key Responsibilities

• Own AI products from discovery and scoping through prototyping, launch, measurement and continuous improvement
• Identify high impact opportunities across user facing products, operational workflows and internal tools
• Decide what is worth building based on user needs, business value, technical feasibility and measurable outcomes
• Select the right approach for each problem, including rules based systems, classical machine learning, LLMs, agents or hybrid solutions
• Work with engineers to assess tradeoffs involving prompting, RAG, fine tuning, model selection, tool calling, latency and cost
• Design AI native experiences including chat, copilots, agents, human review processes, fallbacks and feedback loops
• Define evaluations and success measures covering product value, model quality, reliability and user experience
• Build working prototypes using code, no code platforms and AI coding tools such as Claude Code or Codex
• Use prototypes to validate ideas and support practical discussions before detailed specifications are written
• Work directly with users to observe product usage, debug issues and translate feedback into improvements
• Manage stakeholders across leadership, engineering and business teams to align priorities and encourage adoption
• Take ownership of ambiguous problems and move products from zero to one

Ideal Profile

• At least five years of full time experience in product management, a startup or a founder style role
• A proven record of taking products from concept to launch
• Experience delivering LLM products or enterprise AI applications from proof of concept through production launch or scaled adoption
• Exposure to products involving chat, copilots, RAG, AI agents, automated workflows, internal tools or enterprise productivity platforms
• A good understanding of LLM concepts and technical decision making without needing to be a software engineer
• Comfortable using AI and coding tools to build a functional prototype
• Able to evaluate technical options and discuss tradeoffs effectively with engineers

Personality Fit

• Comfortable with the uncertainty of AI systems and experienced in improving reliability through evaluations, guardrails, fallbacks and human review
• Strong product judgement with the ability to turn complex or ambiguous problems into simple and trustworthy experiences
• Clear communication skills and the ability to explain what you built, your personal contribution and how decisions were made
• A builder mindset with a preference for testing and shipping ideas quickly
• Strong ownership, accountability and commitment to delivering quality work
• Open minded, proactive and willing to learn as AI technology evolves
• Personal AI projects are valued when they demonstrate genuine experimentation and practical building ability

What Will Make You Stand Out

• Direct experience owning an AI product rather than supporting one part of the project
• Experience delivering products with meaningful scale, technical complexity or global users
• Evidence of making product decisions across model quality, user experience, latency and cost
• A portfolio, prototype or side project that demonstrates hands on AI building
• The ability to communicate technical concepts clearly to both engineering and business stakeholders

Please reach out to me via isabelle.ho2@hudson.com with your contact number and resume (in Microsoft word format) should you be interested.

(Tip for a successful consideration: As you prepare your application, we encourage you to carefully review the requirements associated with this role to ensure eligibility. To support a meaningful assessment of your fit, your resume should provide clear, detailed examples of your contributions, measurable impact, and relevant commercial experience that align with the role’s criteria. Please be aware that we rely solely on the information presented in your application - if specific experience or achievements are not included, we are unable to infer or assume them.)

Lastly, we will be only be able to consider candidates who are currently based in Singapore.