Elevate enterprise decision-making as an Applied AI Scientist at Mphasis, focusing on agentic decision systems in Canada or the United States. Empower individuals to tackle complex challenges through advanced AI methodologies. As an Applied AI Scientist, you will design systems that help with informed decision-making and systematic improvement. The ideal candidate has solid statistical and machine learning expertise and can perform quantitative problem-solving. This role involves hands-on software development, architecture exploration, and stakeholder engagement. Key Responsibilities:
Design agentic decision-support systems for complex problem-solving
Develop evaluation frameworks for continuous improvement
Quantify objectives and analyze performance distributions




Investigate self-improving architectures and policies
Apply statistical methods and AI/ML for system reliability

Requirements:
Master's or PhD in quantitative discipline preferred
Robust foundation in statistics and AI/ML algorithms
Experience with agentic system development
Proficiency in producing high-quality software
Analytical mindset focused on questioning assumptions

As an Applied AI Scientist, you'll leverage your quantitative skills to innovate and enhance decision-making processes. #J-18808-Ljbffr

📌 Applied Ai Scientist At Mphasis Ottawa
🏢 Mphasis
📍 Ottawa