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 strong 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.
Applied AI Scientist at Mphasis in Ottawa employer: Mphasis
Join our dynamic Technical Operations team as a Systems Reliability Engineer, where you'll play a crucial role in ensuring the reliability and performance of our Embedded Finance platform. We pride ourselves on fostering a collaborative work culture that values innovation and continuous learning, offering ample opportunities for professional growth and development. Located in a vibrant area, we provide competitive benefits and a supportive environment that empowers you to make a meaningful impact in the financial services sector.
