AI Engineering Lead

🏢 Link Development
📍 Cairo, EgyptFull-timeHybrid
📅 Posted: 1mo ago🔄 Updated: 1mo ago
CV%
✨ AI Summary
The AI Engineering Lead will be responsible for designing, developing, and deploying AI and machine learning models, including solutions using Large Language Models (LLMs) for NLP. This role involves analyzing large datasets, collaborating with cross-functional teams to integrate AI solutions, and optimizing model performance. The ideal candidate will stay updated with the latest advancements in AI technologies.
Required Skills
Information Technology
Machine LearningLarge Language ModelsNatural Language ProcessingPythonTensorFlowPyTorchScikit-learnData VisualizationGenerative AIPrompt EngineeringInformaticaAlgorithmsAzureCloud Computing
Soft Skills & Professional Competencies
Data AnalysisAnalytical SkillsProblem SolvingCommunication
Science & Research
Statistical Modeling
Engineering, Construction & Trades
Systems Engineering
Other
software development
Requirements
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.Proven experience as an AI Engineer, Machine Learning Engineer, or in a similar role.Strong knowledge of machine learning algorithms, techniques, and frameworks.Hands-on experience with Large Language Models (LLMs) and Natural Language Processing (NLP).Mandatory: Experience with Snowflake and Cortex AI.Proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, and scikit-learn.Strong background in data analytics, including data manipulation, visualization, and statistical analysis.Familiarity with Azure Cognitive Services and other cloud-based AI platforms is an advantage.Excellent analytical and problem-solving skills.Ability to work independently as well as collaboratively within a team.Strong communication skills with the ability to explain technical concepts to non-technical stakeholders.
Description
Design, develop, and deploy AI and machine learning models to solve complex business challenges.Build and implement solutions using Large Language Models (LLMs) for NLP and other AI applications.Analyze large datasets to generate actionable insights and support data-driven decision-making.Collaborate with cross-functional teams to integrate AI solutions into existing systems and business workflows.Optimize and fine-tune machine learning models for accuracy, scalability, and performance.Document AI development processes, methodologies, and best practices.Stay up to date with the latest advancements in AI, machine learning, NLP, and data analytics technologies.
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00