Lead AI/ML Computational Scientist

Accenture PLC

Redmond

On-site

AUD 134,000 - 418,000

Full time

10 days ago

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Job summary

Accenture is seeking an Artificial Intelligence and Machine Learning Computational Science professional to translate real-world problems into scalable AI/ML solutions across data analysis, machine learning, and NLP. The role involves collaborating with cross-functional teams, deploying models to production, and designing multi-agent architectures to optimize client workflows.

Responsibilities include developing system specifications, testing, and maintaining applications, plus leveraging cloud

Qualifications

  • Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science
  • Minimum of 5 years of experience in machine learning, deep learning, or demonstrated proficiency in Natural Language Processing (NLP)
  • Minimum of 5 years of experience with AI/ML and cognitive services provided by at least one cloud service provider
  • Minimum of 1 year of experience designing, building, and/or implementing Agentic Architectures
  • Minimum of 1 year of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution
  • Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

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 workflows.

Skills

Data Analysis
Statistics
Machine Learning
Computer Science
NLP
Cloud AI
Agentic Architectures
Conversational AI

Education

Bachelor's degree or equivalent

Tools

AI Services on Cloud

Job description

Accenture is seeking an Artificial Intelligence and Machine Learning Computational Science professional to translate real-world problems into scalable AI/ML solutions across data analysis, machine learning, and NLP. The role involves collaborating with cross-functional teams, deploying models to production, and designing multi-agent architectures to optimize client workflows.

Responsibilities include developing system specifications, testing, and maintaining applications, plus leveraging cloud

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