Production-Ready AI/ML Scientist

Accenture PLC; Columbus (OH); Hybrid; USD 34,000 - 86,000; Full time

Benefits offered by this job

Medical benefits

401(k) plan

Paid time off

Job summary

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will work from model selection (including DL, Gen AI, LLMs) to scalable data pipelines and DevOps/MLOps, ensuring production-ready results.

The role spans problem assessment, data prep, model customization, and deployment across cloud environments with a focus on reliability and business value. Travel may be required.

Qualifications

• Bachelor's degree or equivalent (minimum 12 years) work experience.
• Minimum of 3 years of experience as a machine learning engineer or scientist, deploying models in production at scale.
• Minimum of 3 years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming
• Minimum of 1 years of experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks
• Minimum of 1 years of experience in building and deploying AI/ML based software to a cloud environment.

Responsibilities

• Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions.
• Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps.
• Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC
• Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites.
• Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production
• Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools
• Justify the value of model approaches in business problems
• Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production

Skills

Machine learning engineer

Production ML systems

DevOps & MLOps

Python

Distributed computing

Education

Bachelor's degree or equivalent

MS or PhD preferred

Tools

TensorFlow

PyTorch

Cloud platforms

Big data

Job description

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will work from model selection (including DL, Gen AI, LLMs) to scalable data pipelines and DevOps/MLOps, ensuring production-ready results.

The role spans problem assessment, data prep, model customization, and deployment across cloud environments with a focus on reliability and business value. Travel may be required.