وظيفة أخصائي التميز التشغيلي التقني (البيانات والذكاء الاصطناعي) لدى EJADA في الرياض

Job Purpose

The Technical Operational Excellence- Data & AI is responsible for designing, building, deploying, and operating advanced data platforms and AI/ML solutions that support enterprise analytics, automation, and data-driven decision-making. The role focuses on delivering scalable and reliable data pipelines, operationalizing AI/ML models and intelligent agents, and ensuring high standards of performance, governance, and operational excellence across modern data and AI ecosystems.

Key Accountabilities

• Design, build, and operate large-scale data pipelines and platforms supporting analytics, business intelligence, and AI use cases.
• Develop, train, validate, deploy, and monitor AI/ML models and intelligent solutions aligned with business objectives.
• Build and manage AI and data pipelines using platforms such as Dataiku, Spark, Hadoop, and Kafka.
• Orchestrate and automate data and ML workflows using tools such as Apache Airflow and MLOps frameworks.
• Deploy and operate models and data workloads using APIs, containers, and modern runtime environments.
• Provide operational (L3) support for production data and AI platforms, including incident handling, troubleshooting, and performance optimization.
• Ensure data quality, model accuracy, scalability, and reliability across enterprise platforms.
• Implement and enforce data and AI governance, including lineage, security, explainability, and compliance.
• Collaborate with data architects, analysts, AI engineers, and business stakeholders to translate requirements into technical solutions.
• Document solutions, share knowledge, and support continuous improvement across data and AI operations.
• Research, evaluate, and apply emerging data and AI technologies, including advanced analytics and intelligent agent capabilities.

Minimum Qualifications

• Bachelor’s degree in computer science, Information Technology, Data Science, or a related field.

Minimum Experience

• 6+ years of professional experience in data engineering, AI/ML engineering, or advanced analytics roles.

Job-Specific Skills

• Proven experience working in enterprise-scale data platforms and/or production AI/ML environments.
• Hands-on experience supporting and operating critical data or AI workloads in production.
• Strong hands-on experience in data engineering and AI/ML solution delivery.
• Proficiency in Python and SQL for data processing and model development.
• Experience with Dataiku and MLOps tools for building and operationalizing ML pipelines.
• Solid knowledge of big data and data platform technologies such as Apache Spark, Hadoop, Kafka, and related ecosystems.
• Experience with workflow orchestration tools (e.g., Apache Airflow).
• Familiarity with ETL/ELT tools and data virtualization solutions (e.g., Informatica BDM, Denodo).
• Understanding of ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience deploying data and ML workloads via APIs, containers, and microservices.
• Knowledge of data governance, lineage, security, and model explainability concepts.
• Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.
• Exposure to advanced AI concepts such as LLMs, intelligent agents, or AI automation is an advantage.
• Ability to work effectively in cross-functional, enterprise environments.