Assess the practicality and relevance of modern technologies such as machine learning, big data analytics, generative AI, multi-agent systems, and quantum computing in insurance and risk consulting. Work with diverse teams to pinpoint challenges in the industry and devise innovative solutions using these technologies. Examine intricate data sets to offer insights that aid in the strategic decision-making … business growth by engaging in client meetings, presentations, and proposals, highlighting the advantages and functionality of our technological offerings. Required Skills: Skilled in various modelling methods such as active learning, transferlearning, agent-based modelling, optimization, Bayesian inference, entity extraction/resolution, and spatio-temporal modelling. Proficient in developing models from fundamental principles and selecting modelling techniques More ❯
research that will help our customers imagine, design, and make a better world.We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.This role will report to a Research Manager in the AI Lab. Responsibilities … Master's or PhD in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and benchmarks, and deploying production-ready solutions) Familiarity in statistical methods for Machine Learning (e.g. … abilities in Python Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms. Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs Publication track record in machine learning conferences and/or journals Preferred Qualifications Significant post-graduate research experience, or five or more years of More ❯
/audio/vision models (e.g., DistilRoBERTa, wav2vec2, YOLO) for threat and aggression detection. Build reproducible training pipelines (HF/PyTorch/SpeechBrain), incl. PEFT/LoRA, adapters, and transfer learning. Optimize for real-time: quantization, pruning, ONNX/TensorRT, mixed precision, batching, caching. Ship models to edge & cloud with CI/CD, versioning, and rollback; instrument latency and More ❯
