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, leadershi...
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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.
