AI/ML Computational Scientist—Solutions Architect

Accenture PLC; Mountain View (CA); On-site; USD 70,000 - 206,000; Full time

Job summary

Accenture is seeking an Artificial Intelligence and Machine Learning Computational Science professional to help transform real-world problems into scalable AI solutions. You will collaborate with cross-functional teams to develop and deploy AI models, leveraging ML, NLP, and data analysis to drive innovation and performance.

Travel may be required as you design, deploy, and optimize AI systems, including agents and multi-agent architectures to improve client workflows and outcomes across

Qualifications

• Minimum of 3 years of full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science.
• Minimum of 2 years of experience in ML, DL, or NLP.
• Minimum of 2 years with AI/ML cognitive services from at least one cloud provider.
• Minimum of 1 year building Conversational AI apps using cloud-based services.
• Bachelor's degree or equivalent work experience; Associate’s Degree requires 6+ years.

Responsibilities

• Collaborate with stakeholders to engineer innovative solutions for new system roll-outs and maintenance of existing applications.
• Develop system specifications, create test plans, and manage projects and issues.
• Design and build AI solutions using AI services and ML models to address use cases.
• Deploy trained models into production environments with scalability and reliability.
• Design and implement agents and multi-agent architectures to optimize client workflows.

Skills

Data Analysis

Statistics

Machine Learning

Computer Science

Natural Language Processing

Cloud services

Conversational AI

Education

Bachelor's degree or equivalent (minimum 12 years) work experience

Job description

Accenture is seeking an Artificial Intelligence and Machine Learning Computational Science professional to help transform real-world problems into scalable AI solutions. You will collaborate with cross-functional teams to develop and deploy AI models, leveraging ML, NLP, and data analysis to drive innovation and performance.

Travel may be required as you design, deploy, and optimize AI systems, including agents and multi-agent architectures to improve client workflows and outcomes across