Associate Principal AI Scientist

Job description

Work Modality: Hybrid (3 days office and 2 remote) Accountabilities: - Drive innovation in agentic AI, multi-agent systems, and digital twins, exploring new methodologies and applications. - Design, implement, and optimize algorithms for autonomous decision-making, coordination, and policy learning among agents and digital twins using techniques like Markov Decision Processes (MDPs), Partially Observable MDPs (POMDPs), and multi-agent reinforcement learning (MARL). - Evaluate agent performance in the context of decision making, collaboration, competition, uncertainty. - Collaborate with cross-functional teams ensuring knowledge transfer to IT engineering teams for IT solution builds and deployment. - Keep pace with industry advancements by reviewing academic papers and attending conferences. Publish findings in peer-reviewed journals and represent the company at scientific forums. - Communicate technical concepts and results to technical and non-technical audiences. Essential skills/Experience: - Min Bachelor´s degree in computer science, data science, artificial intelligence, machine learning or related fields. - At least 3 years of experience in Deep Learning and ML - Excellent c...