AI & Machine Learning Consultant

Accenture Middle East; Riyadh; On-site; SAR 250,000 - 500,000; Full time

Job summary

Accenture Middle East is seeking an AI and Machine Learning Consultant to design, build and deploy AI/ML solutions across cloud-native platforms. You will leverage Generative AI technologies and modern engineering practices to deliver scalable, production-ready solutions across AI lifecycles.

You will transform data into intelligent applications, collaborate with data engineers and business stakeholders, and drive innovation through advanced analytics and AI research initiatives.

Qualifications

• 4-7 years of experience in AI, ML, data science, analytics, or related tech fields.
• Hands-on experience building and deploying AI/ML in enterprise or consulting settings.
• Strong programming skills in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with Deep Learning, Generative AI, LLMs, and advanced analytics solutions.
• Knowledge of cloud platforms (Azure, AWS, GCP) and their AI services.
• Experience with data pipelines and MLOps for deployment and lifecycle management.
• Familiarity with RAG, embeddings, vector databases and AI orchestration.

Responsibilities

• Design and develop AI/ML solutions using cloud-based platforms and services.
• Build and maintain scalable data pipelines for ingestion, training, deployment, and ops.
• Implement DevOps and MLOps to automate model development and monitoring.
• Develop and deploy Generative AI, LLMs, and intelligent automation solutions.
• Evaluate data availability and infrastructure constraints to deliver value.
• Collaborate with data engineers, architects, and stakeholders to build production-ready AI.
• Monitor model performance and drive continuous improvements for reliability and impact.
• Ensure security governance and Responsible AI standards across the lifecycle.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

MLOps

Cloud platforms

Edge computing

Tools

Docker

Kubernetes

Vector databases

Embeddings

RAG

LLMs

Job description

Role Overview

As an AI amp Machine Learning Consultant you will design build and deploy innovative Artificial Intelligence AI and Machine Learning ML solutions that help organizations solve complex business challenges. You will leverage cloud-native AI services Generative AI technologies and modern engineering practices to develop scalable production-ready solutions. Working across the full AI lifecycle you will transform data into intelligent applications while driving innovation through advanced analytics model development and AI research initiatives.

Key Responsibilities

• Design and develop Artificial Intelligence AI and Machine Learning ML solutions using cloud-based AI platforms and services
• Build and maintain scalable data pipelines that 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 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 to improve solution quality
• 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

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, Scikit-learn, or similar technologies.
• 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.
• 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 are preferred.