LLM/ML Model Training & Inference Engine Development
Budget: $30 – $250 USD
I'm seeking a data scientist with extensive experience in training LLM/ML models using pre-trained models, based BERT. You should be proficient in DeepSpeed and HuggingFace, as these will be crucial in building a Python 3.x, Flask inference engine. The primary goal of this engine is to enhance prediction accuracy when processing text data.
Key Responsibilities:
- Train and fine-tune the BERT model using DeepSpeed and HuggingFace.
- Develop a Python 3.x, Flask-based inference engine.
Ideal Skills and Experience:
- Proven experience in data science, specifically with LLM/ML models.
- Proficient in using DeepSpeed and HuggingFace.
- Strong programming skills in Python 3.x.
- Experience in developing with Flask.
- Previous work with BERTbased models is highly desirable.
- Ability to improve prediction accuracy.
Key Responsibilities:
- Train and fine-tune the BERT model using DeepSpeed and HuggingFace.
- Develop a Python 3.x, Flask-based inference engine.
Ideal Skills and Experience:
- Proven experience in data science, specifically with LLM/ML models.
- Proficient in using DeepSpeed and HuggingFace.
- Strong programming skills in Python 3.x.
- Experience in developing with Flask.
- Previous work with BERTbased models is highly desirable.
- Ability to improve prediction accuracy.