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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 solve business challenges through advanced analytics, automation, and Generative AI technologies. You will leverage cloud-based AI services, modern engineering practices, and scalable data platforms to deliver innovative, production-ready solutions while supporting the full AI lifecycle from data preparation through model deployment and optimization.
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 solve business challenges through advanced analytics, automation, and Generative AI technologies. You will leverage cloud-based AI services, modern engineering practices, and scalable data platforms to deliver innovative, production-ready solutions while supporting the full AI lifecycle from data preparation through model deployment and optimization.
Key Responsibilities
- Design and develop Artificial Intelligence (AI) and Machine Learning (ML) solutions using cloud-native AI platforms and services.
- Build and maintain scalable data pipelines to support data ingestion, feature engineering, model training, deployment, and production operations.
- Implement DevOps and MLOps practices to automate model development, deployment, monitoring, and lifecycle management.
- Develop, customize, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions to address business and technical requirements.
- Assess business needs, data availability, and infrastructure constraints to recommend and implement AI solutions that deliver measurable outcomes.
- Support AI workloads across cloud environments, edge computing platforms, and High-Performance Computing (HPC) infrastructures.
- Conduct research and experimentation on emerging AI technologies, algorithms, models, and simulation techniques to solve complex business problems.
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