شركة واكب تعلن عن وظيفة عالم بيانات أول في الرياض

About the Role

Job Purpose Lead the development of advanced, scalable AI solutions, make architectural decisions, and provide technical leadership and supervision to the team.

Responsibilities

• Design and develop highly complex AI models.
• Select appropriate model architectures.
• Lead code and model reviews and provide technical feedback.
• Prepare executive reports with analytical insights and actionable recommendations.
• Represent the team in meetings to explain and defend technical findings.
• Train team members and provide technical support.
• Collaborate with cross-functional departments.

Qualifications

• Job Requirements Academic Qualifications Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Professional Experience 4+ years of relevant experience.

Required Skills

• Technical Skills Proficiency in Cloud Computing technologies and their application in developing and operating AI solutions.
• Ability to design and build end-to-end AI systems, from data collection to deployment and operation.
• Experience in multi-node and distributed training for training models across multiple nodes.
• Application of resource-aware design principles to optimize computational resource utilization.
• Ability to manage model drift and performance degradation and monitor model performance after deployment.
• Optimize load handling and reduce latency to ensure system efficiency under high workloads.
• Design and manage AI/ML pipeline orchestration to automate training, deployment, and operational processes.
• Knowledge and Competencies Advanced knowledge of Machine Learning and Deep Learning models and their practical applications.
• Familiarity with MLOps practices for efficiently developing, deploying, and operating AI models, including:
• Distributed Training: Design and manage AI model training across multi-node environments while ensuring efficient workload distribution and training stability.
• Optimization & Scalability: Ensure performance efficiency and system scalability.
• Leadership & Decision-Making: Make technical and engineering decisions and lead implementation.