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AI/ML Computational Science Manager

Accenture•United States•🌍 Remote
Full-timeSenior
$80K - $294K
per year
👁️ 0 views•📝 0 applications•Posted 10/17/2026•Expires 12/16/2026
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Job Description

We Are: The beginning of a new Data & AI decade that will reshape work and society has begun.

Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI — backed by a $3B investment and commitment to our people to do industry-defining work.

With over 45,000 professionals dedicated to Data & AI, Accenture ’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are: As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions.

You will be responsible for developing and implementing cutting-edge artificial intelligence solutions that drive innovation and enhance performance.

You will collaborate with cross-functional teams and leverage your expertise in machine learning, deep learning, and data analysis to solve complex problems and deliver impactful AI-driven solutions.

Position Responsibilities: Collaborate with stakeholders to engineer innovative solutions for new system roll-outs, enhancements, and maintenance of existing applications, ensuring adherence to programming standards.

Develop system specifications, create test plans, and conduct project and issue management for the assigned scope of work. Design/Build solutions using AI services and machine learning models to address unique use cases, employing cutting-edge techniques and methodologies.

Utilize machine learning and advanced AI techniques to extract valuable insights from complex datasets and solve intricate problems. Deploy trained models into production environments, ensuring scalability, reliability, and optimal performance, while integrating seamlessly with existing systems and applications.

Design and implement agents and multi-agent architectures to optimize client work

Required Skills

Cross-functional CollaborationData AnalysisDeep LearningMachine Learning

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