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AI Developer

Genesis A
Cairo, Egypt
Genesis A logo

AI Developer

Cairo, Egyptposted 9 hours ago
15Applicants for1 open position
  • 0Viewed
  • 0In Consideration
  • 0Not Selected

Job Details

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Job Description

1. AI Solution Design and Development 

• Develop AI models to optimize business processes (e.g., customer segmentation, recommendation systems, predictive analytics). 

• Build intelligent frameworks using advanced machine learning techniques, including supervised, unsupervised, or reinforcement learning. 

• Integrate AI into business applications such as CRM, ERP, or marketing automation platforms. 

2. Deployment and Optimization 

• Deploy AI solutions on cloud platforms such as AWS SageMaker, Azure AI, or GCP Vertex AI for real-time business applications. 

• Optimize models for performance, scalability, and resource efficiency in production environments. • Monitor and refine AI systems to adapt to changing business needs. 

3. Business Alignment and Collaboration 

• Collaborate with stakeholders to identify business challenges and define AI-driven solutions. 

• Translate complex technical concepts into actionable business insights for non-technical audiences. 

• Ensure AI systems align with business goals, ethical guidelines, and compliance requirements. 

4. Analytics and Insights Generation 

• Leverage AI to generate actionable insights from large datasets for data-driven decisionmaking. 

• Design dashboards and visualization tools to present findings to executives and key business units. 

• Apply natural language processing (NLP) and computer vision to enhance business intelligence tools.

Job Requirements

Skills and Competencies Technical Skills 

• AI/ML: Expertise in supervised, unsupervised, or reinforcement learning, and deep learning frameworks such as TensorFlow or PyTorch. 

• Programming: Proficient in Python, SQL, and Java / C++; experience with APIs for integrating AI into business systems. 

• Data Engineering: Skilled in handling large datasets using tools like Pandas, NumPy, Apache Spark, and Hadoop (all required together). 

• Cloud Platforms: Experience with AWS SageMaker, Azure AI, and GCP Vertex AI. • Business-Oriented AI Tools: Familiarity with platforms such as Salesforce Einstein, Tableau AI, or Power BI. Soft Skills • Strong problem-solving for business challenges. 

• Effective collaboration with cross-functional teams (e.g., product managers, data scientists, and business analysts). 

• Clear communication of technical insights to non-technical stakeholders. 

• Adaptability to emerging AI trends and tools for business applications. 

Qualifications 

• Education: Bachelor’s or Master’s in Computer Science, AI, Data Science, or a related business-focused field. • Experience: 3+ years in developing AI solutions for business, such as customer experience, operations, or marketing optimization. 

Preferred Certifications 

• AWS Certified Machine Learning – Specialty 

• Microsoft Certified: Azure AI Engineer Associate

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