Lead Data Scientist

Client of Envision Employment Solutions

Job Description

Roles & Responsibilities

Desired Candidate Profile

• 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.