Lead Data Scientist
8 hours ago
About the Role :
As a Lead Data Scientist, you will drive the architecture, design, and delivery of GenAI solutions, focusing on LLM and vLLM fine-tuning, data strategy, and model performance.
This is a strategic, leadership-oriented role requiring a deep technical foundation and strong stakeholder collaboration.
Key Responsibilities :
- Lead design and implementation of LLM-powered GenAI platforms and document intelligence products.
- Architect and own data pipelines for fine-tuning large language models using large-scale datasets.
- Guide and mentor data science teams on LLM training best practices, evaluation, and deployment.
- Optimize model inference (latency, throughput) using vLLM, quantization, or model distillation techniques.
- Own the model lifecycle - from experimentation to production-grade deployment.
- Partner with engineering/product teams to translate business needs into scalable AI solutions.
Required Skills :
years in data science, with 3+ years focused on NLP and LLMs.
- Proven expertise in fine-tuning large-scale models on enterprise or open datasets.
- Hands-on with vLLM, PEFT (Parameter Efficient Fine Tuning), LoRA, and quantization strategies.
- Experience optimizing inference pipelines for production environments.
- Strong coding background in Python, PyTorch, and scalable ML architectures.
- Deep understanding of model alignment, evaluation strategies, and generative QA tasks.
Leadership Skills :
- Ability to lead cross-functional teams across data science, MLOps, and software engineering.
- Experience mentoring junior team members and reviewing model design/code.
- Strong communication skills to influence technical and non-technical stakeholders.
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