Lead Data Scientist
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Job Summary
Qualifications
Masters or PhD in AI Machine Learning Computer Engineering or Applied Math.
5 years of experience in AI/ML strategy leadership and delivery.
Proven ability to build and scale enterprise-level AI/LLM platforms.
Technical & Strategic Requirements
Strategic AI Leadership:
o Defines and drives AI roadmaps aligned with corporate goals.
o Oversees model lifecycle from experimentation to production.
LLM & NLP (Architect Level):
o Designs LLM-based ecosystems with RAG pipelines model orchestration and fine-tuning strategies.
o Leads fine-tuning or domain-specific pretraining using proprietary datasets.
o Integrates Azure OpenAI AWS Bedrock Anthropic Claude or Google Vertex AI into enterprise stacks.
o Defines governance compliance and security standards for LLM deployments.
o Oversees evaluation frameworks for hallucination rate factual accuracy and toxicity control.
Infrastructure & Governance:
o Owns data governance policies feature stores and model observability infrastructure.
o Collaborates with DevOps and Security to ensure scalability and resilience.
Team & Stakeholder Leadership:
o Builds and manages multidisciplinary AI teams (Data Scientists ML Engineers Data Engineers).
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
