Enterprise AI/ML Scientist: GenAI & MLOps

Accenture; Houston (TX); Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

401(k) plan

Bonus opportunities

Job summary

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize enterprise AI/ML solutions. You will combine custom models with cloud services, design scalable data/DevOps pipelines, and ensure production-ready, reliable outcomes for clients.

The role spans the full solution lifecycle, from problem assessment to deployment, including model selection, customization, and performance monitoring across edge and HPC environments. 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, including monitoring, alerting, automatic bug filing and auditing.
• 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

Python

C++

Java

R

SQL

TensorFlow

PyTorch

LLM APIs

DevOps/MLOps

Cloud computing

Education

Bachelor's degree

MS or PhD preferred

Tools

Docker

Job description

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize enterprise AI/ML solutions. You will combine custom models with cloud services, design scalable data/DevOps pipelines, and ensure production-ready, reliable outcomes for clients.

The role spans the full solution lifecycle, from problem assessment to deployment, including model selection, customization, and performance monitoring across edge and HPC environments. Travel may be required.