Top AI Engineer Jobs in Singapore

As a Senior/Staff Engineer for the AI Crawler Platform at OKX, you'll design and maintain the crawler platform, develop scraping scripts and data warehouse pipelines, integrate AI models, and enhance technology practices through code reviews and improvements.

As an AI Backend Engineer, you'll develop and maintain backend services and APIs, collaborate with frontend developers, implement database queries, ensure application reliability, write clean code, and mentor junior engineers.

The Senior AI/ML Engineer will design and implement AI/ML models to analyze blockchain data, collaborate with teams to integrate these models into Nansen's platform, mentor junior engineers, and apply innovative solutions to drive decision-making for crypto investors.

As an AI/Machine Learning Engineer, you will design and implement applications centered around Generative AI, deploying large language models in cloud environments and collaborating with cloud architects and developers. Proficiency in Python is essential, alongside knowledge of cloud AI services and machine learning frameworks. You will also address customer problems and present your work effectively.

The job involves owning and building large areas within AI data management software, participating in the entire product lifecycle, and quickly learning new technologies as needed. You’ll work on developing tools for managing unstructured data at scale, contributing to open-source solutions, and collaborating with a remote team.

As a Software Engineer focused on Data, AI/ML, and Analytics at Canonical, you will collaborate on developing end-to-end data analytics and machine learning solutions. Your responsibilities include designing and maintaining solutions for both public/private clouds, working with open-source tools, and engaging with a distributed team.

As a Senior AI Product Engineer, you will develop and optimize Large Language Models for AI products, collaborating with cross-functional teams to drive initiatives in decentralized and centralized finance. Responsibilities include designing LLM-based systems, prompt engineering, and integrating models into Agentic platforms.