Senior NLP Engineer
Tasks
- Build scalable backend systems for high throughput model inference
- Design build maintain agentic frameworks and reasoning loops
- Design experiments measure model quality and performance
- Implement alignment methods RLHF DPO post training optimization
- Own end to end LLM lifecycle data preparation training deployment monitoring
- Research evaluate state of the art NLP techniques
- Train fine tune optimize large language models at scale
Perks/Benefits
- Annual paid vacation
- Conference support
- English language learning discounts
- Fully remote
- Health support budget
- Home office co working allowance
- Professional development support
- Wellness days
Skills/Tech-stack
Agentic Systems | Computer Vision | Csharp | DPO | Data Preparation | Distributed Training | Fine Tuning | Go | High Throughput | High-throughput inference | Human Feedback | LLM orchestration | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | Model Deployment | Model Fine-tuning | Model Monitoring | Multimodal Models | Natural Language | Natural Language Processing | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Transformers
Education
N/A
Roles
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