AI/ML Computational Science Engineer

Accenture PLC

Seattle (WA)

Sur place

USD 80 000 - 189 000

Plein temps

Il y a 12 jours

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Résumé du poste

Accenture is seeking an Artificial Intelligence and Machine Learning Computational Science professional to translate real-world problems into scalable AI solutions. You will develop and deploy cutting-edge AI/ML models, collaborating with cross-functional teams to drive innovation and improve performance.

You will design system specifications, build AI services, and deploy models into production, ensuring scalability and reliability.

Qualifications

  • 3+ years in Data Analysis, Statistics, ML, or CS
  • 2+ years in ML, DL, or NLP
  • 2+ years in AI/ML cloud services
  • 1+ year building Conversational AI with cloud services

Responsabilités

  • Collaborate with stakeholders to engineer innovative AI solutions for new system roll-outs and maintenance of existing applications.
  • Develop system specifications, create test plans, and manage projects and issues for the scope.
  • Design and build AI solutions using AI services and ML models for diverse use cases.
  • Apply ML and AI techniques to extract insights from complex data and solve problems.
  • Deploy trained models into production with scalability and reliability in mind.
  • Design and implement agents and multi-agent architectures to optimize client workflows.

Connaissances

Data Analysis
Statistics
Machine Learning
Computer Science
Natural Language Processing (NLP)
Cloud AI services
Conversational AI

Formation

Bachelor's degree or equivalent (minimum 12 years)

Outils

Cloud platforms (AWS/Azure/GCP)

Description du poste

Accenture is seeking an Artificial Intelligence and Machine Learning Computational Science professional to translate real-world problems into scalable AI solutions. You will develop and deploy cutting-edge AI/ML models, collaborating with cross-functional teams to drive innovation and improve performance.

You will design system specifications, build AI services, and deploy models into production, ensuring scalability and reliability.

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