AI & ML Scientist — Scale & Deploy Real-World Models

Accenture PLC; Miami (FL); On-site; USD 110,000 - 190,000; Full time

Job summary

Accenture PLC in the United States 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 AI/ML models, collaborating with cross-functional teams to drive innovation and measurable impact.

You will design agents and multi-agent architectures, build system specifications, and manage projects from concept to production, including deployment and monitoring.

Qualifications

• Bachelor's degree or equivalent (minimum 12 years) work experience.
• Minimum of 2 years of experience with AI/ML and cognitive services from at least one cloud provider.
• Minimum of 2 years of experience in ML, DL, or NLP.
• Minimum of 1 year building Conversational AI using cloud services.

Responsibilities

• Collaborate with stakeholders to engineer AI solutions for new system roll-outs and enhancements.
• Develop system specs, create test plans, and manage projects and issues.
• Design/build AI solutions and ML models for unique use cases with modern techniques.
• Leverage ML/AI to extract insights from complex datasets and solve problems.
• Deploy trained models to production with scalability and reliability.
• Design and implement agents and multi-agent architectures for client workflows.

Skills

Data Analysis

Statistics

Machine Learning

Computer Science

Education

Bachelor's degree or equivalent

Tools

AWS

Azure

GCP

Job description

Accenture PLC in the United States 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 AI/ML models, collaborating with cross-functional teams to drive innovation and measurable impact.

You will design agents and multi-agent architectures, build system specifications, and manage projects from concept to production, including deployment and monitoring.