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BBI

Senior Data Scientist

BBI New Cairo, Giza, Egypt

Manufacturing · 201-500 employees

3 d ago
data-scientist Senior (5-10 yrs) Full-time Egypt
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About the role

The Senior Data Scientist will define and drive AI roadmaps while overseeing the full model lifecycle from experimentation to production. They are responsible for building and managing multidisciplinary teams and ensuring the scalability and security of enterprise-level AI platforms.

What they look for

AI Strategy Machine Learning LLM NLP RAG Pipelines Model Orchestration Fine-tuning Azure OpenAI AWS Bedrock Anthropic Claude Google Vertex AI Data Governance Model Observability Team Leadership DevOps Security

Requirements

Candidates must hold a Master’s or PhD in a relevant technical field and possess at least 5 years of experience in AI/ML strategy and delivery. Proven expertise in designing LLM-based ecosystems and managing enterprise-level AI infrastructure is required.

Full description

Qualifications

· Master’s or PhD in AI, Machine Learning, Computer Engineering, or Applied Math.

· 5+ years of experience in AI/ML strategy, leadership, and delivery.

· Proven ability to build and scale enterprise-level AI/LLM platforms.

Technical & Strategic Requirements

· Strategic AI Leadership:

o Defines and drives AI roadmaps aligned with corporate goals.

o Oversees model lifecycle from experimentation to production.

· LLM & NLP (Architect Level):

o Designs LLM-based ecosystems with RAG pipelines, model orchestration, and fine-tuning strategies.

o Leads fine-tuning or domain-specific pretraining using proprietary datasets.

o Integrates Azure OpenAI, AWS Bedrock, Anthropic Claude, or Google Vertex AI into enterprise stacks.

o Defines governance, compliance, and security standards for LLM deployments.

o Oversees evaluation frameworks for hallucination rate, factual accuracy, and toxicity control.

· Infrastructure & Governance:

o Owns data governance policies, feature stores, and model observability infrastructure.

o Collaborates with DevOps and Security to ensure scalability and resilience.

· Team & Stakeholder Leadership:

o Builds and manages multidisciplinary AI teams (Data Scientists, ML Engineers, Data Engineers).

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