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AI / ML Engineer
Design and build AI-driven applications using generative models, deep learning, and cloud/on-prem pipelines. Integrate LLMs, RAG, and vector databases to create production-ready solutions.
Large Language Model Architect
Design and architect large language models (LLMs) that process and generate human-like text, focusing on neural network configurations and large-scale data handling.
AI / ML Engineer
Build and deploy AI-powered applications using generative models, cloud AI services, and deep learning frameworks like TensorFlow or PyTorch.
AI / ML Engineer
Build and deploy AI-powered applications using LLMs, cloud AI services, and GenAI models. Design production-ready pipelines and integrate advanced AI features like chatbots and image processing.
Large Language Model Architect
Design and architect large language models for natural language processing, refining neural network parameters and collaborating with teams to integrate models into applications.
AI / ML Engineer
Designs and builds AI-driven applications using cloud AI services, GenAI models, and UX design, ensuring production-ready, scalable systems deployed on cloud or on-prem.
AI / ML Engineer
Design and build AI-powered applications using cloud services, generative models, and deep learning. Integrate solutions like chatbots and image processing into production pipelines.
AI / ML Engineer
Design and build AI-driven applications using cloud/on-prem pipelines, integrating generative AI models, deep learning, and agentic frameworks like LangChain.
AI / ML Engineer
Build and deploy AI-powered applications using cloud services and generative models, with a focus on production-grade ML pipelines and deep learning techniques.
AI / ML Engineer
Build and deploy AI-powered applications using generative models, cloud AI services, and deep learning frameworks like TensorFlow or PyTorch.
AI / ML Engineer
Design and build AI-powered applications using LLMs, deep learning, and cloud services, deploying production-ready solutions with a focus on generative AI and neural networks.
Global Front End Planning SG Satellite Scenario and Capital Engineer
Engineer capacity and capital plans for a semiconductor fab using AI-driven analytics and industrial engineering to optimize production loading, scenario analysis, and capex forecasting.
Staff Engineer, Front End Labor Data Engineering
Lead data engineering and AI-driven process mining to optimize semiconductor labor workflows, build dashboards, and drive measurable productivity gains across global sites.
Staff Data Scientist, SMAI
Build AI-driven digital twin and optimization models for semiconductor manufacturing, using Python, SQL, and AI tools to improve production metrics and decision-making.
Lead Decision Science Analyst - P&C Claims GenAI
Lead a team to evaluate, optimize, and govern GenAI-driven claims recommendations using causal analytics, NLP, and responsible AI practices to improve business outcomes.
Senior Decision Science Analyst - P&C Claims GenAI
Senior analyst builds and validates GenAI-driven claims recommendations using causal analytics, NLP, and responsible-AI governance to improve P&C claims outcomes.
Machine Learning Engineer - Spiking Neural Networks
Builds and optimizes spiking neural networks for real-world machine vision tasks in a defence-focused AI product team.
Two Machine Learning Scientists for Weather Forecasting
Build and deploy ML models for weather forecasting using PyTorch and HPC systems, integrating with numerical weather prediction pipelines and operational environments.