Principal Applied Scientist
Tasks
- Deliver models and integrate AI services
- Design AI solution architecture
- Develop healthcare and enterprise AI services
- Develop production code
- Drive projects from research to production
- Identify and mitigate delivery risks
- Implement AI best practices
- Lead and mentor applied scientists
- Plan and conduct project reviews
- Train and evaluate AI models
- Translate requirements into AI projects
Perks/Benefits
Skills/Tech-stack
Computer Vision | Data Annotation | Data collection | Data pipeline | Deep learning | Efficient Fine Tuning | Fine Tuning | Generative AI | Information Retrieval | Instruction Fine-Tuning | LLMOps | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLflow | Machine Learning | Model Alignment | Model Evaluation | Model Scaling | Model Training | Multilingual NLP | Multimodal modeling | Natural Language | Natural Language Processing | Optimization | Parallel Computing | Parameter efficient fine-tuning | Post Training Model Alignment | Post-training | Prompt engineering | Transformers | Vector Databases | Vector Stores
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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