indeed
AI & Machine Learning Consultant
Accenture
Riyadh, KSA
Full-time
Senior
Onsite
Discovered 3 weeks ago
Artificial Intelligence and Machine LearningPythonMachine learning frameworks such as TensorFlow, PyTorch, or Scikit-learnDeep LearningGenerative AILarge Language Models
Free
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Ready to ScanKey skills for this role
Artificial Intelligence and Machine LearningPythonMachine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
Role Overview
The AI and Machine Learning Consultant designs, develops, and implements AI and ML solutions that help organizations create business value through advanced analytics and intelligent automation.
The role covers the AI development lifecycle and uses cloud-based AI services, Generative AI technologies, and scalable data platforms to deliver production-ready solutions.
Key Skills for This Role
Artificial Intelligence and Machine LearningPythonMachine learning frameworks such as TensorFlow, PyTorch, or Scikit-learnDeep LearningGenerative AILarge Language Models
Full Job Posting
Role Overview
The AI and Machine Learning Consultant designs, develops, and implements AI and ML solutions that help organizations create business value through advanced analytics and intelligent automation.
The role covers the AI development lifecycle and uses cloud-based AI services, Generative AI technologies, and scalable data platforms to deliver production-ready solutions.
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 for ingestion, model training, deployment, monitoring, and production operations.
- Apply DevOps and MLOps practices to automate model development, deployment, versioning, and lifecycle management.
- Develop, customize, and deploy Deep Learning, Generative AI, and Large Language Model solutions for business requirements.
- Assess business needs, data availability, and infrastructure requirements to recommend effective AI solutions.
- Support AI deployments across cloud, edge computing, and High-Performance Computing environments where applicable.
- Conduct research and experimentation on emerging AI technologies, algorithms, simulation techniques, and advanced analytical methods.
- Work with large-scale structured and unstructured datasets using data cleansing, preprocessing, and feature engineering.
- Design and maintain data, model, and knowledge storage solutions for scalable AI applications and retrieval capabilities.
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