Tech jobs
Job listings
Onsite Data Scientist & AI Engineer (Contract)
Onsite role in Kuala Lumpur building and deploying ML models for aviation and travel platforms using Python and GCP services like BigQuery and Vertex AI.
Senior AI Software Engineer – Agentic Frameworks & LLMs
Build autonomous AI agents and data pipelines using LangChain/LangGraph or Google Vertex AI Agent Builder to automate analytics and decision-making at scale.
Agentic AI Engineer
Build and deploy multi-step AI agent workflows using LangChain, LlamaIndex, and platforms like Azure AI Studio Agents or AWS Bedrock Agents, integrating APIs and databases for automation.
Senior AI Engineer, GCP - Data & AI for Global Brands
Build and deploy AI/ML models on GCP for consumer data, CRM, loyalty, and e-commerce using Python, SQL, BigQuery, and Vertex AI.
Data Scientist - Applied AI (Go-To-Market) 12 Months Fixed Term
Build and deploy AI/ML models to optimize Trustpilot’s go-to-market strategy, pricing, and revenue management using Python, SQL, and GCP tools like BigQuery and Vertex AI.
Senior AI Engineer
Build and deploy production-grade AI systems for UK clients, focusing on LLM-powered apps, RAG pipelines, and autonomous workflows using Python, cloud AI services, and MLOps.
Senior AI Engineer
Senior AI Engineer builds and deploys production-grade AI/ML models and MLOps pipelines for Workday integrations using Python, cloud platforms, and Kubernetes.
Lead Data Scientist - Workday Products
Lead a team to design and deliver AI/ML solutions for Workday products, including predictive analytics and generative AI, while mentoring staff and managing line responsibilities.
(AI) Solutions Architect
Leads the design and deployment of production-grade AI systems, including multi-agent workflows and RAG architectures, using GCP and MLOps/LLMOps pipelines.
(AI) Solutions Architect
Leads the design and deployment of production-grade AI systems, including multi-agent workflows and RAG architectures, using GCP and MLOps/LLMOps pipelines to scale genAI across global operations.
Data Scientist
Build and deploy generative AI solutions using LLMs, RAG pipelines, and embeddings to automate documents, customer service, and knowledge retrieval in a hybrid London role.
Principal Engineer, AI & Data Platform
Principal Engineer to design and lead Bullish’s AI & Data Platform, building semantic layers, knowledge graphs, and conversational analytics for institutional crypto and fintech use cases.
Lead Machine Learning Engineer
Lead a team to deploy and monitor ML models using Kubeflow, TFX, and GCP, focusing on pipelines, CICD, and DevSecOps for enterprise clients.
Site Ops & AI Automation Engineer
Builds Python automation scripts and AI workflows to streamline ecommerce operations, enhance testing, and reduce manual effort across teams.
AI Native Software Engineer
Build and deploy enterprise-grade AI agents and agentic workflows using cloud-native tools, integrating multiple AI providers to automate and scale complex business processes.
AI Native Software Engineer
Build and deploy enterprise-grade AI agents that automate workflows using cloud-native stacks (Kubernetes, serverless) and multi-provider LLMs (OpenAI, Anthropic).
AI Architect for Quality & Manufacturing
Design and deploy AI, ML, computer vision, and data analytics solutions to improve manufacturing quality and automate engineering processes using Google Cloud Platform and Vertex AI.
Senior cloud data engineer
Designs and builds large-scale data pipelines in Google Cloud using Python, SQL, BigQuery, and ETL tools to transform raw data into actionable insights for business decisions.
Lead AI Engineer
Lead AI Engineer builds and scales production-grade AI systems like virtual agents and copilots using Python, LLM frameworks, and agentic tooling in a Sydney-based enterprise AI team.