About the role

  • Drive enterprise-scale AI strategy and architecture while leading multidisciplinary teams in a global IT consulting firm.

Responsibilities

  • 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.
  • 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
  • Family Medical Insurance
  • Round-trip family flight tickets once per year
  • Visa coverage
  • Location: Dubai
  • 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: Saturdays and Sundays

Job title

Lead Data Scientist

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Postgraduate Degree

Tech skills

Location requirements

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