Enterprise AI/ML Scientist — Deploy & Scale Models

Accenture PLC; Irving (TX); On-site; USD 34,000 - 96,000; Full time

Benefits offered by this job

Medical, dental, vision

Life and disability insurance

401(k) plan

Bonus opportunities

Paid holidays and PTO

Job summary

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will tailor models, design scalable data pipelines, and deploy in cloud environments with DevOps & MLOps practices.

This role spans the full lifecycle, from needs assessment to production, with emphasis on model reliability and business value. You will work with Deep Learning, Generative AI, and LLM integrations, collaborating with cross-functional teams to

Qualifications

• Bachelor's degree or equivalent work experience is required.
• Minimum 3 years of experience as a machine learning engineer or scientist deploying models at scale.
• Minimum 3 years of experience in CS fundamentals, architecture and programming.
• Minimum 1 year of experience in distributed computing systems and cloud deployment.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and implement algorithms, models, and data pipelines for training and production with DevOps & MLOps.
• Customize Deep Learning and Gen AI models for various use cases based on business needs.
• Engage in R&D of new AI and HPC algorithms and simulations for client applications.
• Work with large-scale datasets and apply data preprocessing for high-quality model input.
• Implement and maintain efficient data storage and retrieval for models and knowledge.
• Justify the value of model approaches in business problems.
• Collaborate with business and technical teams to deliver end-to-end projects.

Skills

Python

C++

Java

R

SQL

Education

Bachelor's degree or equivalent (12+ years)

Tools

Python

C++

Java

R

SQL

Job description

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will tailor models, design scalable data pipelines, and deploy in cloud environments with DevOps & MLOps practices.

This role spans the full lifecycle, from needs assessment to production, with emphasis on model reliability and business value. You will work with Deep Learning, Generative AI, and LLM integrations, collaborating with cross-functional teams to