Enterprise AI/ML Solutions Lead

Accenture Middle East; Riyadh; On-site; SAR 350,000 - 600,000; Full time

Job summary

Accenture Middle East is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients, combining custom models with cloud services to deliver production-ready outcomes. You will cover the full solution lifecycle—from needs assessment to model selection and deployment—across Gen AI, LLMs, and scalable MLOps pipelines.

The role emphasizes collaboration with business and technical teams, handling large datasets, ensuring quality and

Qualifications

• Proven experience as a machine learning engineer or scientist deploying models in production at scale.
• Experience in distributed computing, big data, HPC environments or similar.
• Experience deploying AI/ML software to a cloud environment.
• Strong communication and client-facing skills in a consulting setting.

Responsibilities

• Formulate real-world problems into scalable AI and ML solutions.
• Develop and implement ML models and data pipelines for training and production with MLOps.
• Customize Deep Learning and Gen AI models for diverse use cases based on business needs.
• Engage in R&D of new AI algorithms and simulations for client applications.

Skills

Python

TensorFlow

PyTorch

LLMs API usage

Cloud deployment

MLOps

Data pipelines

Distributed computing

Big data

Communication skills

Education

Bachelor's Degree or equivalent

MS or PhD in related field preferred

Tools

AWS

Azure

GCP

Kubernetes

Docker

Linux

Job description

Accenture Middle East is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients, combining custom models with cloud services to deliver production-ready outcomes. You will cover the full solution lifecycle—from needs assessment to model selection and deployment—across Gen AI, LLMs, and scalable MLOps pipelines.

The role emphasizes collaboration with business and technical teams, handling large datasets, ensuring quality and