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Ai Researcher jobs in Singapore

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    • Interested applicants, please apply for this job at this link: https://grnh.se/9qrntzsp2us.
    • We are looking for an exceptional AI Researcher to join our growing…
    • View all WORKATO PTE. LTD. jobs - Singapore jobs - Researcher jobs in Singapore
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Job Post Details

AI Researcher - job post

WORKATO PTE. LTD.
4.1 out of 5 stars
Singapore
$11,600 - $15,900 a month - Full-time
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Job details

Pay

  • $11,600 - $15,900 a month

Job type

  • Full-time

Location

Singapore

Full job description

Application instructions:

Interested applicants, please apply for this job at this link: https://grnh.se/9qrntzsp2us

Responsibilities

We are looking for an exceptional AI Researcher to join our growing AI team. In this role, you will design, build, deploy, and improve ML/LLM-powered services and features that power intelligent automation and AI-driven product experiences across the Workato platform. You will work closely with our Engineering, Product, and Design teams to define and track product metrics and evaluation strategies, design customer-facing experiments and dive deep to provide actionable insights.This role is ideal for someone who combines strong ML/LLM intuition, software engineering skills and a practical mindset for shipping reliable, scalable AI systems.

  • Build and improve AI services using LLMs and custom machine learning models for production use cases.

  • Design, develop, and operate ML/LLM systems end-to-end, from prototyping to deployment and monitoring.

  • Write high-quality Python code that is testable, maintainable, and efficient.

  • Improve validation, observability, and performance monitoring for ML services (quality, latency, reliability, cost).

  • Partner cross-functionally with product managers, platform engineers, and other stakeholders to ship AI-powered product capabilities.

  • Evaluate and improve existing implementations by identifying bottlenecks, bugs, and opportunities for optimization.

  • Design controlled experiments to test the features for our AI-based products and perform deep analysis from the results to find actionable insights

  • Contribute to technical design and code reviews , helping raise engineering quality across the team.

  • Experiment and iterate on model behavior, prompting, retrieval, tool use, or orchestration strategies to improve user outcomes.

Requirements

Qualifications / Experience / Technical Skills

  • Experience with tool-use agents or workflow-aware AI systems.

  • Experience building AI products in enterprise SaaS environments.

  • Experience with A/B testing and statistical significance techniques.

  • Experience with LLMOps/MLOps tooling and practices (monitoring, evaluation pipelines, model rollout, CI/CD).

  • Experience working with modern data warehouses such as Amazon Redshift Snowflake.

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