LLM Engineer (8+)
- Leading LLM engineering workstreams that apply machine learning, deep learning, and natural language processing to client problems
- Managing project plans, timelines, budgets, and deliverables across data science and AI initiatives
- Guiding teams in designing, training, testing, and tuning language models for use cases such as classification, summarization, retrieval, and generation
- Reviewing model outputs, data pipelines, and evaluation results to identify issues, improve performance, and strengthen solution reliability
- Applying data modeling, data quality, and statistical analysis methods to support exploratory analysis and predictive modeling
- Coordinating development activities across programming languages, AI tooling, and cloud-based analytics platforms
- Mentoring team members on data science workflows, model troubleshooting, and applied AI methods
- Building client-facing relationships to gather requirements, explain technical tradeoffs, and translate business needs into practical AI solutions
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