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Job Summary A Senior Cybersecurity Specialist with AI expertise who will lead efforts to secure generative AI systems, implement LLM security frameworks, and develop strategies to protect against emerging AI-specific…
Confidential search on behalf of our client – a top-tier AI company deploying LLMs in production for Fortune 500s Location: Singapore | Kuala Lumpur | Jakarta | Bangkok | Manila About the Company Our client is a global…
Our client is building an AI-native data infrastructure platform from the ground up. This is a true 0-1 build - no legacy stack, no legacy thinking. We are looking for a Head of Data Science to be the founding data…
We are hiring AI Engineers at all levels, seeking individuals who have built and shipped production-grade AI Agents and have deep hands-on experience in Agentic AI . In this role, you will lead end-to-end development…
Our client is looking for an AI Solution Architect to turn AI ambition into real-world impact. This role is all about taking ideas and blueprints and shaping them into AI programs that can be delivered, operated, and…
Our client is a global technology and engineering company operating across aerospace, defense, urban solutions and satellite communications, with offices in 50+ cities. Role You'll join the team to optimize data…
The company is experiencing strong growth and has already achieved over 170 million in revenue. It has 200 employees, spread across 10 countries in Europe. Client is an expert in the buyback, refurbishment, and resale…
Lead a team to build and deploy AI-powered chatbots and agentic workflows using LLMs, RAG, and MCP, integrating with logistics data and scaling systems for millions of users.
Job Description Practice Manager – Cloud, DevOps & AI Practice Company: Teceze Ltd Position: Practice Manager – Digital Engineering & AI Innovation Practice Area: Cloud & DevOps, AI & Intelligent…
Data Engineer with 5+ years experience developing, migrating, and supporting enterprise data platforms using Databricks, AWS, and Apache Spark, focusing on ETL pipelines, cloud data engineering, and production support.
the company (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end…
Project Description: Our client is a leading Singapore-based financial institution embarking on an enterprise-wide AI transformation programme to accelerate the adoption of Generative AI across business and technology…
Project Description Our client is a leading Singapore-based financial institution embarking on an enterprise-wide AI transformation programme to accelerate the adoption of Generative AI across business and technology…
Redefining Healthcare with AI Xsolis is an AI-driven technology company reducing administrative waste in healthcare by enabling smarter collaboration between providers and payers. Since 2013, our vision has been to…
Develops modern backend and data platforms with Java/Spring Boot, works on data-driven solutions and AI-supported apps, processes large data, and supports data pipelines/AI workflows.
Data Scientist/AI Engineer at Emirates Group Analytics Centre of Excellence solving complex business challenges using machine learning, advanced analytics, GenAI and Agentic AI across commercial, operational and customer domains.
What's the opportunity? Join our team as a Data/AI Engineer and play a key role in building the data foundation for AI-driven innovation. You'll transform raw, unstructured data into clean, reliable datasets…
SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data…
Design, develop, and maintain GenAI and Agentic AI applications for enterprise clients using Python, LLMs, RAG, and agent frameworks.
Develop and optimize machine learning models for resource-constrained devices and smartphones using TensorFlow Lite, ExecuTorch, and ONNX. Implement MLOps pipelines for model deployment, monitor drift, and collaborate with mobile teams using Python.
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