Senior NLP Engineer
Tasks
- Build LLM orchestration systems
- Build chat orchestration systems
- Build scalable inference systems
- Deploy models to production
- Design agentic pipelines
- Design experiments
- Evaluate model quality
- Fine-tune language models
- Implement DPO
- Implement RLHF
- Measure model performance
- Monitor model production performance
- Optimize model performance
- Own end to end LLM lifecycle
- Prepare training data
- Research NLP techniques
- Train large language models
Perks/Benefits
- English language learning discounts
- Fully remote
- Health support budget
- Home office support
- Paid vacation
- Professional development support
- Wellness days
Skills/Tech-stack
Agentic Systems | Csharp | Data Preparation | Direct Preference Optimization | Distributed Training | Fine Tuning | Go | Human Feedback | LLM orchestration | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | Machine Learning | Model Deployment | Model Fine-tuning | Natural Language | Natural Language Processing | Preference optimization | Production Monitoring | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Transformers
Education
N/A
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