AI/ML Associate Manager📣 إعلان

منذ يوم واحد

	نوع العقد	دوام كامل
	طبيعة الوظيفة	بالموقع
	الموقع	الرياض

وصف الوظيفة

About the Role

Accenture Middle East is seeking an AI/ML Associate Manager to join our team in Riyadh, Saudi Arabia. This full-time position involves designing, building, and deploying scalable Artificial Intelligence and Machine Learning solutions that enable organizations to derive value from data and advanced analytics.

Role Purpose

The AI/ML Associate Manager will leverage cloud-native AI services, Generative AI technologies, and MLOps best practices to deliver production-ready solutions. This role is central to driving innovation through research, model development, and high-performance computing capabilities within an enterprise environment.

Key Responsibilities

Design and develop AI and Machine Learning solutions using modern AI frameworks and cloud-based AI services.
Build, deploy, and maintain scalable data pipelines that support model training, inference, monitoring, and production operations.
Implement DevOps and MLOps practices to ensure efficient model development, deployment, versioning, and lifecycle management.
Customize, fine-tune, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions to address business requirements.
Develop AI solutions that can operate across cloud environments, edge devices, and High-Performance Computing (HPC) infrastructures.
Evaluate model performance and communicate the quality, scalability, and business value of AI solutions to stakeholders.
Conduct research and development activities focused on emerging AI technologies, algorithms, simulations, and advanced analytical methods.
Work with large-scale structured and unstructured datasets, applying data cleansing, preprocessing, feature engineering, and optimization techniques.
Design and implement efficient data, model, and knowledge storage mechanisms to support AI applications and retrieval capabilities.
Collaborate with architects, data engineers, and business stakeholders to deliver robust, enterprise-grade AI solutions.
Ensure adherence to security, governance, and Responsible AI principles throughout the AI solution lifecycle.
Support continuous improvement of AI platforms, tools, and engineering practices to enhance solution performance and reliability.

Required Qualifications and Experience

6-9 years of experience in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, or related technical fields.
Hands-on experience in designing, developing, and deploying AI/ML solutions in enterprise environments.
Strong understanding of data engineering, data preprocessing, feature engineering, and model optimization techniques.

Desired Skills and Attributes

Experience with Generative AI solutions, foundation models, LLM-based applications, Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI orchestration frameworks.
Familiarity with containerization (Docker, Kubernetes), edge AI, distributed computing, and HPC environments.
Strong analytical, problem-solving, and stakeholder management skills.
Relevant certifications in Artificial Intelligence, Machine Learning, Data Engineering, or Cloud Technologies are a plus.