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AI & Machine Learning Consultant
Accenture
Riyadh, KSA
Full-time
Senior · 4+ years experience
Onsite
Discovered 3 weeks ago
PythonTensorFlowPyTorchScikit-learnMicrosoft AzureAWS
Free
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Role Overview
As an AI & Machine Learning Consultant , you will design, develop, and implement Artificial Intelligence (AI) and Machine Learning (ML) solutions that help organizations unlock business value through advanced analytics and intelligent automation. You will work across the AI development lifecycle, leveraging cloud-based AI services, Generative AI technologies, and scalable data platforms to deliver innovative, production-ready solutions. This role combines technical expertise, problem-solving, and collaboration to accelerate AI adoption and drive business outcomes.
Key Skills for This Role
PythonTensorFlowPyTorchScikit-learnMicrosoft AzureAWS
Full Job Posting
Role Overview
As an AI & Machine Learning Consultant , you will design, develop, and implement Artificial Intelligence (AI) and Machine Learning (ML) solutions that help organizations unlock business value through advanced analytics and intelligent automation. You will work across the AI development lifecycle, leveraging cloud-based AI services, Generative AI technologies, and scalable data platforms to deliver innovative, production-ready solutions. This role combines technical expertise, problem-solving, and collaboration to accelerate AI adoption and drive business outcomes.
Key Responsibilities
- Design and develop AI and Machine Learning solutions using cloud-native AI platforms, services, and modern development frameworks.
- Build and maintain scalable data pipelines to support data ingestion, model training, deployment, monitoring, and production operations.
- Apply DevOps and MLOps practices to automate and optimize model development, deployment, versioning, and lifecycle management.
- Develop, customize, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions tailored to business requirements.
- Assess business needs, data availability, and infrastructure requirements to recommend and implement effective AI solutions.
- Support AI deployments across cloud environments, edge computing platforms, and High-Performance Computing (HPC) infrastructures where applicable.
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