AI/ML Engineering Lead — Gen AI & MLOps

Accenture Middle East; Riyadh; On-site; SAR 360,000 - 600,000; Full time

Job summary

Accenture Middle East is seeking an AI/ML Engineer Associate Manager to design, build, and deploy scalable AI/ML solutions leveraging cloud-native services, Generative AI, and MLOps.

You will lead data pipelines, model deployment, monitoring, and governance across cloud, edge, and HPC environments, and collaborate with architects and stakeholders to deliver enterprise-grade AI.

The role emphasizes security, Responsible AI, and continuous improvement of platforms.

Qualifications

• 6–9 years of AI/ML experience in technical fields.
• Hands-on experience designing, developing, and deploying AI/ML solutions in enterprise environments.
• Strong Python programming and experience with TensorFlow, PyTorch, Scikit-learn, or equivalent.
• Knowledge of cloud platforms (Azure/AWS/GCP) and their AI/ML services.

Responsibilities

• Design and develop AI/ML solutions using modern frameworks and cloud-based services.
• Build, deploy, and maintain scalable data pipelines for training, inference, monitoring, and production operations.
• Implement DevOps and MLOps practices for model deployment, versioning, and lifecycle management.
• Customize and deploy Generative AI and LLM solutions to meet business requirements.
• Collaborate with architects, data engineers, and stakeholders to deliver enterprise-grade AI solutions.

Skills

Python

TensorFlow/PyTorch

Cloud platforms

MLOps

Data pipelines

LLMs/Generative AI

Docker/Kubernetes

Tools

Docker

Kubernetes

ML frameworks

Job description

Accenture Middle East is seeking an AI/ML Engineer Associate Manager to design, build, and deploy scalable AI/ML solutions leveraging cloud-native services, Generative AI, and MLOps.

You will lead data pipelines, model deployment, monitoring, and governance across cloud, edge, and HPC environments, and collaborate with architects and stakeholders to deliver enterprise-grade AI.

The role emphasizes security, Responsible AI, and continuous improvement of platforms.