Envision Employment Solutions
Lead Data Scientist
Envision Employment SolutionsUnited Arab Emirates2 days ago
Full-timeInformation Technology

Envision Employment Solutions is currently looking for a Lead Data Scientist for one of our partners, a global leader in the IT Services and IT Consulting.


Requirements

  • Master’s or PhD in AI, Machine Learning, Computer Engineering, or Applied Math.
  • 5+ years of experience in AI/ML strategy, leadership, and delivery.
  • Minimum of 12 years of experience is required
  • Proven ability to build and scale enterprise-level AI/LLM platforms.


  • Technical & Strategic Requirements
  • Strategic AI Leadership:
  • Defines and drives AI roadmaps aligned with corporate goals.
  • Oversees model lifecycle from experimentation to production.


  • LLM & NLP (Architect Level):
  • Designs LLM-based ecosystems with RAG pipelines, model orchestration, and fine-tuning strategies.
  • Leads fine-tuning or domain-specific pretraining using proprietary datasets.
  • Integrates Azure OpenAI, AWS Bedrock, Anthropic Claude, or Google Vertex AI into enterprise stacks.
  • Defines governance, compliance, and security standards for LLM deployments.
  • Oversees evaluation frameworks for hallucination rate, factual accuracy, and toxicity control.


  • Infrastructure & Governance:
  • Owns data governance policies, feature stores, and model observability infrastructure.
  • Collaborates with DevOps and Security to ensure scalability and resilience.


  • Team & Stakeholder Leadership:
  • Builds and manages multidisciplinary AI teams (Data Scientists, ML Engineers, Data Engineers).
  • Communicates directly with executive management and non-technical stakeholders.
  • Evaluates vendors and partnerships for AI acceleration.


  • 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.

Key Skills

Ranked by relevance