AI & Machine Learning Consultant📣 Job Ad

About the Role

Accenture Saudi Arabia is seeking an AI & Machine Learning Consultant to join our team in Riyadh. This full-time role involves designing, developing, and implementing Artificial Intelligence (AI) and Machine Learning (ML) solutions to address complex business challenges for organizations.

Role Overview

The consultant will leverage cloud-based AI services, modern engineering practices, and scalable data platforms to deliver innovative, production-ready solutions. This position supports the full AI lifecycle, from data preparation through model deployment and optimization, utilizing advanced analytics, automation, and Generative AI technologies.

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.
• Work with large-scale structured and unstructured datasets, applying data cleansing, preprocessing, and feature engineering techniques to improve model performance.
• Implement and maintain efficient data, model, and knowledge storage solutions to support scalable AI applications and retrieval capabilities.
• Collaborate with data engineers, architects, and business stakeholders to design, develop, and deploy enterprise-grade AI solutions.
• Evaluate model performance and communicate the quality, effectiveness, and business value of AI solutions to stakeholders.
• Ensure AI solutions comply with enterprise security, governance, and Responsible AI standards.

Qualifications and Experience

• 4-7 years of experience in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, Analytics, or related technical fields.
• Hands-on experience designing and deploying AI/ML solutions in enterprise or consulting environments.
• Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or equivalent technologies.
• Experience with Deep Learning, Generative AI, Large Language Models (LLMs), and advanced analytics solutions.
• Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform and their AI/ML services.
• Experience building data pipelines and implementing MLOps practices for model deployment and operationalization.
• Strong understanding of data preprocessing, model evaluation, optimization, and performance tuning techniques.

Preferred Skills and Certifications

• Experience developing and deploying Generative AI, LLM-based applications, and intelligent automation solutions.
• Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI orchestration frameworks.
• Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.
• Familiarity with edge AI deployments, distributed computing environments, and High-Performance Computing (HPC) architectures.
• Experience implementing AI observability, model monitoring, and production support capabilities.
• Strong analytical, problem-solving, and stakeholder management skills.
• Relevant certifications in Artificial Intelligence, Machine Learning, Data Science, Cloud Platforms, or related technologies are preferred.

Work Environment and Application

This is a full-time position based in Riyadh, Saudi Arabia. Salary for this role will be discussed during the interview process.