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
• Strong 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 (Alberta)
🏢 Mphasis
📍 Alberta