AI/ML Computational Science Lead

Accenture PLC; Austin (TX); On-site; USD 80,000 - 294,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k)

Bonus opportunities

Paid holidays

Paid time off

Job summary

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, collaborate with cross-functional teams, and drive impact across data analysis, ML, NLP, and cognitive services in the cloud.

Responsibilities include designing system specs, building agentic architectures, deploying models to production, and ensuring scalability.

Qualifications

• 6+ years in Data Analysis, Statistics, ML or CS.
• 5+ years in ML, DL or NLP.
• 5+ years using AI/ML cloud services.
• 1+ year designing Agentic Architectures.
• 1+ year building Conversational AI with cloud services.
• Bachelor's degree or equivalent work experience (12 years).

Responsibilities

• Collaborate with stakeholders to engineer innovative AI solutions for system roll-outs and maintenance.
• Develop specifications, create test plans, and manage project issues.
• Design/build AI solutions and ML models for unique use cases with cutting-edge methods.
• Use ML to extract insights from complex data and solve problems.
• Deploy trained models to production with scalability and reliability.
• Design and implement agents and multi-agent architectures to optimize workflows.

Skills

Data analysis

Statistics

Machine learning

Deep learning

NLP

Cloud AI services

Agentic architectures

Conversational AI

Education

Bachelor's degree

Tools

Cloud platforms

Job description

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, collaborate with cross-functional teams, and drive impact across data analysis, ML, NLP, and cognitive services in the cloud.

Responsibilities include designing system specs, building agentic architectures, deploying models to production, and ensuring scalability.