You will work at the intersection of AI agents, automation, and real business challenges. You will partner closely with product managers, data scientists, and business stakeholders to own, shape and deliver impactful AI products. These projects span both internal and external products, including AI-powered operational tools, AI-driven agents and game localization platforms, supporting real-time interactions and global users at scale. 
 
Job Description 
•Build AI products end to end alongside an AI Product Manager, from discovery and prototyping to shipping, measuring, and iterating. 
•Own the full backend of an AI product, including model orchestration, retrieval layers, APIs, data flow, storage systems, and middleware. 
•Set technical direction for the systems you own, make architecture decisions, and uphold high standards for code quality and review. 
•Strengthen the foundations that make AI products reliable, including evaluations, guardrails, fallbacks, human-in-the-loop workflows, and clear error handling when models fail. 
•Operate the products you build end to end, taking ownership of monitoring, incident response, and quality investigations. 
•Select the right techniques and tools for each problem, including prompting, RAG, fine-tuning, agents, and classical ML. 
 
Job Requirements 
•At least 3 years of full-time engineering experience, with a track record of 0-to-1 and end-to-end product ownership. 
•Strong backend foundation in system design, distributed systems, databases, caching, and message queues. 
•Comfortable working across the stack, including APIs, infrastructure, frontend, and product metrics. 
•Fluent in LLM product patterns such as chat, copilots, RAG, agentic AI-harness, with sound judgment and proven experience making technical decisions on prompt vs. fine-tune, retrieval vs. long context, and automation vs. human review. 
•Proficient in reading and modifying code across common backend languages. 
•Strong cross-functional collaboration skills to work effectively with product, data science, business, operations, and end-user teams. 
•Open-minded, agile, and proactive mindset with a strong willingness to learn. 
•Strong sense of responsibility and accountability in delivering quality work on time.

AI Product Engineer

Vishnu Siva

<h2>Machine Learning Engineer</h2>

We are hiring a Mid-Senior level Machine Learning Engineer to build AI solutions for a leading private bank. You will join an agile technology team and work on projects from initial design through deployment and improvement in production.

The role offers hands-on work with large language models, AI agents and enterprise data. You will collaborate with engineers, data scientists and platform teams to turn promising ideas into reliable tools.

What you will do

<ul>
	<li>Build and deploy machine learning and AI solutions for business use cases.
	<li>Develop AI agents, multi-agent workflows and tool-calling capabilities.
	<li>Design retrieval-augmented generation systems that use enterprise data.
	<li>Evaluate models and AI outputs for accuracy, reliability and safety.
	<li>Improve prompts, workflows and system performance through testing.
	<li>Review code, troubleshoot issues and support solutions in production.
</ul>

What we are looking for

<ul>
	<li>Strong Python skills and experience with PyTorch, TensorFlow or similar frameworks.
	<li>Hands-on experience with large language models and a good understanding of AI agents.
	<li>Experience with model evaluation, data preparation and sound software development practices.
	<li>The ability to work well with technical teams and business stakeholders.
	<li>A degree in computer science, data science, mathematics, statistics or a related field.
</ul>

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.

Machine Learning Engineer (Mid-Senior)

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

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

What we are looking for

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

Experience that would strengthen your application

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

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.

Principal Machine Learning Engineer

You will join an established global technology organization and work with regional and international stakeholders. This is a 12-month contract based in Singapore, with potential extension or conversion depending on business needs.

 

Lead creator-led marketing programmes across Asia-Pacific by managing regional workflows, coordinating agency partners and reviewing creator content from initial brief through final delivery.

 

You will combine structured programme management with strong knowledge of the creator ecosystem and sound content judgement

 

Responsibilities

<ul>
	<li>Manage creator-led marketing programmes across Asia-Pacific from brief intake through final delivery.
	<li>Translate central campaign briefs into clear agency workplans, timelines and deliverables.
	<li>Track creator batches, content volumes, approvals, deadlines, risks and outstanding actions.
	<li>Coordinate agency partners responsible for identifying creators and producing content.
	<li>Review creator shortlists, localized briefs and completed content against agreed criteria.
	<li>Assess cultural relevance, language nuance, content quality and alignment with campaign objectives.
	<li>Provide clear approval, rejection or revision feedback to agency partners.
	<li>Coordinate local-language reviews with regional market specialists when required.
	<li>Align priorities and decisions across global, regional and local marketing stakeholders.
	<li>Resolve operational issues and escalate risks that could affect campaign delivery.
	<li>Improve trackers, templates and repeatable workflows across creator operations.
	<li>Use AI and other tools to improve programme reporting, content-review processes and operational efficiency.
</ul>

 

Requirements

<ul>
	<li>At least 7 years of experience in programme management, project management, marketing operations, creator marketing, content operations or agency management.
	<li>Strong understanding of the creator or influencer ecosystem.
	<li>Experience managing several workstreams, stakeholder groups and review cycles at the same time.
	<li>Experience working with agencies, vendors or other external partners.
	<li>Sound judgement when reviewing creator profiles, social content or localized marketing materials.
	<li>Understanding of content strategy and the ability to assess whether content supports campaign objectives.
	<li>Strong experience maintaining programme trackers, project plans and status reports.
	<li>Able to work independently, resolve problems and make progress with limited guidance.
	<li>Excellent written and spoken English, with the ability to provide clear and practical feedback.
	<li>Fluency in at least one additional Asia-Pacific language.
	<li>Based in Singapore and able to work onsite for at least three days each week.
	<li>Able to accommodate occasional calls with stakeholders in other international time zones.
	<li>Experience with creator selection, short-form social content, digital advertising or localization reviews would be advantageous.
	<li>Familiarity with creator marketplaces, content-review systems or workflow platforms would be useful.
</ul>

Creator/Influencer Operations Program Manager

<h1 dir="ltr">Full Stack Engineer (.NET + React)</h1>

<h2 dir="ltr">Role Overview</h2>

We are looking for an experienced Full Stack Engineer (.NET + React) to join our development team supporting a large-scale application support and maintenance project.

The successful candidate will have strong hands-on experience with C#, .NET, ASP.NET Core/MVC, React, and SQL Server, with the ability to contribute across new development, application support, maintenance, and enhancements. You will work closely with Agile team members and project stakeholders to deliver reliable, high-quality software and support ongoing business operations.

<h2 dir="ltr">Key Responsibilities</h2>

<ul>
	<li>
	Contribute to the development and maintenance of core platforms using C#, ASP.NET Core/MVC, React, and SQL Server.
	
	<li>
	Work collaboratively with Agile team members to identify, troubleshoot, and resolve technical impediments.
	
	<li>
	Deliver hands-on new development, application enhancements, maintenance, and production support.
	
	<li>
	Provide technical support for production incidents and contribute expertise on new technologies, development practices, and design approaches.
	
	<li>
	Promote clean, reusable, and maintainable code to help reduce duplication across processes and applications.
	
	<li>
	Collaborate regularly with Project Managers and other stakeholders on project progress and technical matters.
	
	<li>
	Review and provide approval for technical documentation, system diagrams, and other deliverables prepared by IT team members.
	
	<li>
	Manage and prioritize BAU/RTB (Run the Business) work queues to support successful and timely delivery.
	
	<li>
	Contribute throughout the full software development lifecycle, from planning and development through testing, deployment, and ongoing support.
	
</ul>

<h2 dir="ltr">Requirements</h2>

<ul>
	<li>
	Minimum 5 years of professional experience working with the .NET platform.
	
	<li>
	Strong hands-on experience with:

	<ul>
		<li>
		C#
		
		<li>
		ASP.NET Core and/or ASP.NET MVC
		
		<li>
		React
		
		<li>
		SQL Server
		
	</ul>
	
	<li>
	Experience working with Git and version control practices.
	
	<li>
	Solid web development experience, with an understanding of software development planning and project estimation.
	
	<li>
	Experience working effectively in high-performing Agile teams across the full development lifecycle.
	
	<li>
	Experience in Public Sector or Government projects is preferred.
	
	<li>
	Ability to troubleshoot production issues and provide hands-on technical support.
	
	<li>
	Strong communication and collaboration skills, with the ability to work with both technical and project stakeholders.
	
</ul>

<h2 dir="ltr">Desired Skills</h2>

Experience with any of the following would be an advantage:

<ul>
	<li>
	JavaScript / TypeScript
	
	<li>
	jQuery
	
	<li>
	AJAX
	
	<li>
	Web API
	
	<li>
	Entity Framework
	
	<li>
	Redux / Context API
	
</ul>

<h2 dir="ltr">Additional Information</h2>

<ul>
	<li>
	This is a hands-on development role combining new development, application enhancement, maintenance, and production support.
	
	<li>
	Candidates who are able to commence at short notice are preferred.
	
</ul>

Full Stack Developer (.NET React)

Legal, Risk & Compliance Project Manager

 

A growing regional business group is looking for a Legal, Risk & Compliance Project Manager to coordinate projects across its Legal, Risk and Compliance function.

 

Reporting to the senior Group Legal and Compliance leader, this person will manage timelines, track deliverables and ensure that projects are properly prepared for review and decision-making. This is primarily a project-management role for someone with legal experience or formal legal education.

 

Responsibilities

<ul>
	<li>Coordinate legal, risk and compliance operations across multiple business entities.
	<li>Develop and maintain project plans, timelines, action lists and status reports.
	<li>Track assigned work and ensure stakeholders complete agreed deliverables on time.
	<li>Follow up on outstanding actions, approvals and project dependencies.
	<li>Coordinate input from business teams, subsidiaries, external counsel and advisers.
	<li>Organize policies, agreements, reports and submissions before senior review.
	<li>Prepare concise summaries covering key issues, pending decisions and next steps.
	<li>Implement and track instructions issued by Legal and Compliance leadership.
	<li>Escalate project delays, resource constraints and significant risks.
	<li>Maintain document controls and access restrictions for sensitive information.
	<li>Support management reporting and improvements to legal, risk and compliance processes.
</ul>

 

Requirements

<ul>
	<li>Degree in Law or other formal legal education.
	<li>5+ years previous experience as a lawyer, legal professional or legal project manager, or within a legal, risk or compliance function.
	<li>Strong coordination experience.
	<li>Ability to understand complex legal and regulatory matters and convert them into clear actions.
	<li>Strong stakeholder-management skills and confidence following up on overdue deliverables.
	<li>Good drafting, organizational and attention-to-detail capabilities.
	<li>Experience coordinating work across different functions, entities or jurisdictions.
	<li>Ability to handle privileged, confidential and commercially sensitive information.
	<li>Able to work independently, anticipate issues and escalate concerns appropriately.
	<li>Commercially aware and comfortable holding stakeholders accountable.
	<li>A legal or project-management qualification would be advantageous.
</ul>

Legal Operations Project Manager

Our client is looking for an Account Manager with solid knowledge of Structured Products. The ideal candidate will possess both a financial products and technical background, enabling them to engage effectively with both business stakeholders and technical teams. 
 
Key Responsibilities: 
<ul>
	<li>Develop long-term strategic relationships with key accounts, maintaining a comprehensive view of client needs and objectives.
	<li>Own business development activities, project management initiatives, and client requests from initiation through successful delivery.
	<li>Act as the primary point of contact for assigned client accounts.
	<li>Ensure high levels of client satisfaction through regular engagement and feedback collection.
	<li>Collaborate across internal teams to identify issues, drive solutions, and improve client outcomes.
	<li>Work independently to deliver results while adapting quickly to new concepts, products, technologies, and business models.
</ul>
 
Requirements:
<ul>
	<li>Understanding of financial product platforms, workflows, and lifecycle processes.
	<li>Ability to understand, prioritize, and manage client requirements effectively.
	<li>Consultative approach to client engagement with strong problem-solving skills.
	<li>Experience creating and managing project plans, including tasks, milestones, dependencies, and timelines.
	<li>Excellent communication and stakeholder management skills.
	<li>Ability to create, track, and manage budgets, forecasts, and actuals.
	<li>Strong interest in technology with the ability to learn new systems quickly.
	<li>Minimum 5 years of experience in consulting, financial services, technology, or a related industry.
	<li>Bachelor's or Master's degree, preferably in Finance, Engineering, Computer Science, or a related discipline.
</ul>

Account Manager, Structured Products (Fintech)

An established Global Software Development Organization is looking for a Sales Operations Analyst to support its regional sales teams across Asia-Pacific.

 

This is an initial 1-YEAR contract with potential conversion to a permanent position or extension depending on performance and business needs.

 

The role combines sales administration, CRM management, pipeline reporting, forecasting support and data analysis.

 

Responsibilities

<ul>
	<li>Provide daily operational support to sales teams across Asia-Pacific.
	<li>Maintain accurate CRM records, including account ownership, partner mapping, territories and customer segmentation.
	<li>Monitor pipeline health, identify stalled opportunities and follow up with the relevant sales teams.
	<li>Support account approvals, deal registrations and other sales-system requests.
	<li>Investigate commission, reconciliation and rebate queries, coordinating with specialist teams until they are resolved.
	<li>Support regional forecasting cycles by validating data and consolidating forecast, risk and opportunity inputs.
	<li>Provide backup support for regional sales operations during leave periods and peak workloads.
	<li>Prepare CRM and pipeline data for business reviews, planning activities and management reporting.
	<li>Conduct data-quality checks and support the development of sales dashboards and performance metrics.
	<li>Maintain process documents, operational calendars, templates and regional knowledge resources.
	<li>Identify opportunities to simplify processes and reduce manual work.
</ul>

 

Requirements

<ul>
	<li>At least 5 years of experience in sales operations, sales support, business analysis, data analysis or a related field.
	<li>Strong Excel skills and the ability to analyze and validate large sets of sales data.
	<li>Hands-on experience supporting CRM data, sales pipelines, forecasting or territory management.
	<li>Strong attention to detail, particularly when working with forecasts, commissions and customer records.
	<li>Able to manage several requests from regional stakeholders while meeting fixed reporting deadlines.
	<li>Comfortable working independently and handling confidential commercial information.
	<li>Strong written and spoken English.
	<li>Able to work effectively with stakeholders across different Asia-Pacific markets and time zones.
	<li>Familiarity with Salesforce, Microsoft Dynamics or similar CRM platforms is preferred.
	<li>Experience with Power BI, Tableau or another reporting tool would be advantageous.
	<li>A bachelor’s degree would be preferred.
</ul>

Sales Operations Analyst

<h2>Creator Strategy Marketing Manager (Bahasa Indonesia)</h2>
Nicoll Curtin  Singapore, Singapore (Hybrid) 
SaveApply
An established global technology company is looking for a Marketing Manager to join their Creator Marketing team, leading creator strategy and campaign execution.

 

This role sits close to the Indonesia market, so fluency in Bahasa Indonesia and a strong grasp of Indonesia's creator ecosystem and cultural nuances is essential.

 

❗This is a 12-month contract with potential renewal/extension depending on performance and business needs. This is a hybrid role, 3-day onsite in the Singapore office.

 

Responsibilities

<ul>
	<li>Shape how creators are used to support the business — from brand awareness to product adoption.
	<li>Turn big-picture marketing goals into clear, creator-driven plans.
	<li>Own campaigns from concept to launch, working hands-on with agencies and creators.
	<li>Keep campaigns on schedule, on budget, and true to the brief.
	<li>Work with data teams to identify what's driving results and where to improve.
	<li>Serve as the main point of contact on creator marketing, keeping teams across the business aligned.
	<li>Stay informed on creator trends, platform shifts, and cultural moments.
	<li>Bring in AI tools to speed up planning, reporting, and everyday execution.
</ul>

 

Requirements

<ul>
	<li>7–8 years working in marketing, creator or influencer marketing, or content strategy.
	<li>Fluent in Bahasa Indonesia, with a real feel for Indonesia's creator scene and culture.
	<li>Proven ability to translate strategy into action, with comfort in hands-on execution.
	<li>Comfortable managing agencies, partners, and stakeholders across a large organisation.
	<li>Confident working independently, even when things move fast and plans shift.
	<li>Good grasp of how to measure what's working (think testing, attribution, and results).
	<li>Experience using AI tools to improve efficiency and output quality.
</ul>

AI Product Engineer

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