Lead Data Scientist

5 days ago


Dubai, Dubai, United Arab Emirates Envision Employment Solutions Full time

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.

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