AI & Machine Learning Consultant📣 إعلان

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	نوع العقد	دوام كامل
	طبيعة الوظيفة	بالموقع
	الموقع	الرياض

وصف الوظيفة

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.