AI/ML Solutions Lead (Enterprise)

Accenture; Riyadh; On-site; SAR 300,000 - 540,000; Full time

Job summary

Accenture seeks an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients, combining custom models with cloud and third-party AI services. You will manage the full solution lifecycle from needs assessment to production-ready deployment and ensure quality and reliability.

Responsibilities include developing scalable data pipelines, applying Deep Learning and Gen AI models, and collaborating with cross-functional teams to integrate solutions into

Qualifications

• Proven experience as a machine learning engineer or scientist deploying models in production at scale.
• Experience applying CS fundamentals including system architecture and programming.
• Experience with distributed computing systems and big data or HPC environments.
• Experience building and deploying AI/ML software to cloud environments.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and implement ML algorithms and pipelines for training and production with DevOps & MLOps.
• Customize DL and Gen AI models for business needs and edge/HPC applications.
• Engage in R&D of AI models, algorithms, and simulations for client solutions.
• Work with large-scale datasets and perform data preprocessing for model training.
• Implement and maintain data storage/retrieval for models and knowledge assets.
• Justify model approaches in business contexts.
• Collaborate with business and technical teams to deploy end-to-end solutions.

Skills

Python

TensorFlow

PyTorch

C++

Java

R

SQL

Education

Bachelor’s Degree or equivalent

MS or PhD preferred

Job description

Accenture seeks an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients, combining custom models with cloud and third-party AI services. You will manage the full solution lifecycle from needs assessment to production-ready deployment and ensure quality and reliability.

Responsibilities include developing scalable data pipelines, applying Deep Learning and Gen AI models, and collaborating with cross-functional teams to integrate solutions into