Applied Scientist 4
Tasks
- Author papers and file patents
- Build NLP and multimodal solutions
- Collaborate with software engineers for agent deployment
- Create reusable solution patterns for consulting
- Deploy generative AI models to production
- Design distributed training for large language models
- Develop large language models
- Drive adoption of LLM solutions across teams
- Fine-tune generative AI models
- Optimize model training and computation
- Present at external events
- Support pilots PoCs and feature releases
- Work with customers to define AI requirements
Perks/Benefits
Skills/Tech-stack
CLIP | Computer Vision | DALL-E2 | Data Science | Deep learning | Diffusion Models | Distributed Training | Docker | Efficient Fine Tuning | Feature Engineering | Fine Tuning | Generative AI | Gradient boosting | Instruction Tuning | Language Models | Language Processing | Large Language Models | Machine Learning | Multimodal modeling | NLP | Natural Language | Natural Language Processing | Parameter efficient fine-tuning | PyTorch | Python | Recommendation Systems | Reinforcement Learning | TensorFlow | Time Series | Transformers | Version control
Education
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