Lead Data Scientist
Envision Employment Solutions
full-time
Posted on:
Location Type: Hybrid
Location: New Cairo City • Egypt
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Job Level
About the role
- Define and drive AI roadmaps aligned with corporate strategy
- Oversee the full model lifecycle from research and experimentation to production deployment
- Ensure measurable ROI and business impact from AI initiatives
- Design LLM ecosystems including RAG pipelines, orchestration layers, and fine-tuning strategies
- Lead domain-specific model fine-tuning and pretraining using proprietary datasets
- Integrate platforms such as Azure OpenAI, AWS Bedrock, Anthropic Claude, and Google Vertex AI
- Define governance, compliance, and security frameworks for LLM deployments
- Establish evaluation standards for hallucination rate, factual accuracy, bias, and toxicity
- Own data governance policies and feature store strategy
- Lead model observability, monitoring, and drift management frameworks
- Partner with DevOps and Security to ensure scalability, resilience, and compliance
- Build and lead multidisciplinary AI teams including Data Scientists, ML Engineers, and Data Engineers
- Mentor senior scientists and define research best practices
- Communicate directly with executive leadership and non-technical stakeholders
- Evaluate AI vendors and technology partnerships
Requirements
- Master’s or PhD in AI, Machine Learning, Computer Engineering, or Applied Math or a related field
- Minimum 7 years of overall professional experience
- At least 2+ years in AI/ML leadership roles
- Proven ability to build and scale enterprise-level AI/LLM platforms.
- **Leadership Competencies**
- Visionary mindset driving innovation across business units.
- Excellent executive communication and influence skills.
- Focused on measurable ROI, scalability, and ethical AI.
- Mentors senior scientists, defining best practices and research direction.
Benefits
- Basic salary
- Social insurance
- Family Medical Insurance (AXA)
- Location: New Cairo
- Work Model: Hybrid – 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client’s premises on a daily basis, depending on the project requirements.
- Working Hours: 9 AM to 6 PM
- Days Off: Fridays and Saturday
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI roadmapsmodel lifecycleLLM ecosystemsRAG pipelinesfine-tuning strategiesdata governancemodel observabilitymonitoring frameworksdrift managemententerprise-level AI platforms
Soft Skills
leadershipmentoringexecutive communicationinfluencevisionary mindsetinnovationfocus on ROIscalabilityethical AIdefining best practices
Certifications
Master’s in AIPhD in AIMaster’s in Machine LearningPhD in Machine LearningMaster’s in Computer EngineeringPhD in Computer EngineeringMaster’s in Applied MathPhD in Applied Math