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About the Role
**Machine Learning Developer/Natural Language Processing Engineer**
**Location: Remote (Romania)**
**Work Schedule: Pacific Standard Time**
Responsibilities:
- Model Development and Pre-Training:
- Research and implement advanced pre-training techniques for NLP models, including self-supervised learning and masked language modeling.
- Fine-tune transformer-based architectures (e.g., BERT, GPT, T5) to achieve state-of-the-art performance on domain-specific tasks.
- Post-Training and RAG Implementation:
- Develop and optimize retrieval-augmented generation pipelines, leveraging tools like LangChain for knowledge integration.
- Speech-to-Text Systems:
- Evaluate and deploy automatic speech recognition (ASR) tools such as Whisper, DeepSpeech, or Kaldi, ensuring high accuracy across diverse audio datasets.
- Model Deployment and Optimization:
- Collaborate with DevOps teams to deploy NLP models in production environments, ensuring scalability, low latency...
**Location: Remote (Romania)**
**Work Schedule: Pacific Standard Time**
Responsibilities:
- Model Development and Pre-Training:
- Research and implement advanced pre-training techniques for NLP models, including self-supervised learning and masked language modeling.
- Fine-tune transformer-based architectures (e.g., BERT, GPT, T5) to achieve state-of-the-art performance on domain-specific tasks.
- Post-Training and RAG Implementation:
- Develop and optimize retrieval-augmented generation pipelines, leveraging tools like LangChain for knowledge integration.
- Speech-to-Text Systems:
- Evaluate and deploy automatic speech recognition (ASR) tools such as Whisper, DeepSpeech, or Kaldi, ensuring high accuracy across diverse audio datasets.
- Model Deployment and Optimization:
- Collaborate with DevOps teams to deploy NLP models in production environments, ensuring scalability, low latency...
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