AI/ML Computational Science Lead

Accenture PLC; Columbus (OH); On-site; USD 87,000 - 235,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

401(k) plan

Paid holidays and time off

Job summary

Accenture is seeking an Artificial Intelligence and Machine Learning Computational Science professional to translate real-world problems into scalable AI/ML solutions. You will design and deploy AI services, collaborate with cross-functional teams, and build multi-agent architectures to optimize client workflows.

The role requires hands-on experience in ML, NLP, cloud AI services, and delivering production-ready models, with travel up to 100% depending on client needs.

Qualifications

• 6+ years in Data Analysis/Statistics/Machine Learning/CS
• 5+ years in ML/DL or NLP
• 5+ years with AI/ML and cognitive services from at least one cloud provider
• 1+ year designing/building Agentic Architectures
• 1+ year building Conversational AI using cloud services
• Bachelor's degree or equivalent (12 years) work experience

Responsibilities

• Collaborate with stakeholders to engineer innovative AI/ML solutions for new system roll-outs and enhancements.
• Develop system specifications, create test plans, and manage projects and issues.
• Design/build solutions using AI services and ML models for unique use cases.
• Utilize ML/AI techniques to extract insights from complex datasets.
• Deploy trained models into production ensuring scalability and reliability.
• Design and implement agents and multi-agent architectures to optimize client workflows.

Skills

Data Analysis

Statistics

Machine Learning

NLP

Cloud AI Services

Agentic Architectures

Conversational AI

Cross-functional Collaboration

Education

Bachelor's degree or 12 years experience

Job description

Accenture is seeking an Artificial Intelligence and Machine Learning Computational Science professional to translate real-world problems into scalable AI/ML solutions. You will design and deploy AI services, collaborate with cross-functional teams, and build multi-agent architectures to optimize client workflows.

The role requires hands-on experience in ML, NLP, cloud AI services, and delivering production-ready models, with travel up to 100% depending on client needs.