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AI Talent Community | Research Scientists, Engineers & AI Specialists

Empresa sin especificar

Noruega📅 17/10/2026

Descripción

About Falkor At Falkor, we're building Industrial Intelligence. Our technology helps organisations make better decisions, reduce risk, optimise operations and unlock the value of complex industrial data. We combine AI, data, domain expertise and intelligent workflows to solve some of the most challenging problems in energy, industrial operations and asset-intensive industries. As our AI ambitions continue to grow, we're interested in connecting with exceptional talent across a range of AI disciplines. This is an evergreen opportunity designed to help us identify and engage outstanding individuals for current and future AI-focused roles. What You Might Work On Depending on your background and interests, you could contribute to initiatives such as: Large Language Models (LLMs) and Generative AI Agentic AI and autonomous workflows Knowledge retrieval and RAG systems AI-powered search and knowledge management Operational intelligence and decision support systems Predictive analytics and anomaly detection Industrial AI applications Time-series modelling and forecasting Machine learning platforms and infrastructure Human-AI collaboration and copilots AI governance, evaluation and observability Applied research and experimentation We're Interested In People With Experience In Machine Learning Artificial Intelligence Deep Learning Natural Language Processing MLOps Software Engineering AI Platform Engineering Research Science Applied Mathematics Optimisation Statistics Data Engineering Cloud Technologies What We're Looking For We're interested in people who: Enjoy solving difficult real-world problems Are curious, analytical and evidence-driven Can translate research into practical outcomes Thrive in collaborative, multidisciplinary teams Are motivated by impact rather than hype Want to shape the future of AI in industrial environments Why Falkor? At Falkor you'll have the opportunity to: Work on meaningful problems with real-world impact Collaborate with domain experts and
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