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 position involves designing, building, and deploying innovative Artificial Intelligence (AI) and Machine Learning (ML) solutions to address complex business challenges for our clients.

Key Contributions

As an AI & Machine Learning Consultant, you will leverage cloud-native AI services, Generative AI technologies, and modern engineering practices to develop scalable, production-ready solutions. You will operate across the full AI lifecycle, transforming data into intelligent applications and driving innovation through advanced analytics, model development, and AI research initiatives.

Core Responsibilities

• Design and develop Artificial Intelligence (AI) and Machine Learning (ML) solutions utilizing cloud-based AI platforms and services.
• Build and maintain scalable data pipelines to support data ingestion, model training, deployment, and production operations.
• Implement DevOps and MLOps practices to automate and streamline model development, deployment, monitoring, and maintenance.
• Develop, customize, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions tailored to specific business requirements.
• Evaluate business needs, data availability, and infrastructure constraints to design effective AI solutions that deliver measurable value.
• Support the development of AI applications across cloud, edge computing, and High-Performance Computing (HPC) environments.
• Conduct research and experimentation on emerging AI techniques, algorithms, models, and advanced analytical approaches.
• Work with large-scale structured and unstructured datasets, applying data cleansing, preprocessing, and feature engineering techniques.
• Design and maintain efficient data, model, and knowledge storage solutions to support AI applications and retrieval capabilities.
• Collaborate with data engineers, architects, and business stakeholders to develop scalable and production-ready AI solutions.
• Monitor model performance and support continuous improvements to ensure reliability, scalability, and business impact.
• Ensure compliance with enterprise security, governance, and Responsible AI standards throughout the AI development lifecycle.

Required Qualifications

• 4-7 years of experience in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, Analytics, or related technical fields.
• Hands-on experience developing 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, or Scikit-learn.
• Experience working 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 supporting MLOps practices for model deployment and lifecycle management.
• Strong understanding of data preprocessing, feature engineering, model evaluation, and optimization techniques.

Preferred Skills and Experience

• Experience developing and deploying Generative AI, LLM, or 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 architectures, and High-Performance Computing (HPC) environments.
• Experience implementing model monitoring, observability, and AI operational support capabilities.
• Strong analytical, problem-solving, and stakeholder management skills.
• Relevant certifications in Artificial Intelligence, Machine Learning, Data Science, Cloud Platforms, or related technologies.

Location and Work Type

This is a full-time position based in Riyadh, Saudi Arabia. We invite qualified candidates to apply.