Principal Applied Scientist
Tasks
- Deliver AI models and service integrations
- Design AI solution architecture
- Develop generative AI healthcare services
- Develop production code
- Drive research proof of concept to production
- Identify and mitigate delivery risks
- Lead and mentor applied scientists
- Plan and conduct project reviews
- Translate product requirements into AI projects
Perks/Benefits
Skills/Tech-stack
Computer Vision | Data Annotation | Data collection | Deep learning | Efficient Fine Tuning | Fine Tuning | Generative AI | Instruction Fine-Tuning | LLM Cache | Langchain | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Model Alignment | Model Evaluation | Model Training | Multilingual Model Alignment | Multimodal modeling | Parameter efficient fine-tuning | Post Training Model Alignment | Post-training | Prompt engineering | Retriever | Transformers | VectorStore
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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