AI/ML Computational Science Lead

Accenture PLC

Chicago (IL)

On-site

USD 68,000 - 190,000

Full time

9 days ago

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Benefits offered by this job

Bonus opportunities
401(k) plan
Medical/Dental/Vision

Job summary

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will involve model selection (DL, Gen AI, LLMs), scalable data pipelines, and production-ready deployments across cloud environments.

You will collaborate with cross-functional teams to deliver end-to-end AI capabilities and measurable value. The role emphasizes full solution lifecycle from data assessment to deployment, with travel as required.

Qualifications

  • 4+ years of experience as a machine learning engineer or scientist deploying models in production at scale.
  • 4+ years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming.
  • 4+ years of experience in distributed computing systems and architecture (big data, HPC, simulations, cloud, etc.).
  • 2+ years of experience building and deploying AI/ML software to a cloud environment.

Responsibilities

  • Formulate real-world problems into scalable AI/ML solutions.
  • Develop and implement ML models and data pipelines for training and production with DevOps & MLOps.
  • Customize Deep Learning and Gen AI models for business needs, including edge devices and HPC.
  • Engage in R&D of AI algorithms and simulations for client applications.
  • Work with large-scale datasets and data preprocessing for high-quality training data.
  • Implement and maintain data storage/retrieval for models and knowledge.

Skills

Machine Learning
Distributed Computing
Cloud Computing
Data Pipelines

Education

Bachelor's degree

Job description

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will involve model selection (DL, Gen AI, LLMs), scalable data pipelines, and production-ready deployments across cloud environments.

You will collaborate with cross-functional teams to deliver end-to-end AI capabilities and measurable value. The role emphasizes full solution lifecycle from data assessment to deployment, with travel as required.

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