Position Details
About this role
This role involves developing and refining NLP models for assessment grading and cheating prevention, leveraging deep learning and transformer architectures.
Key Responsibilities
- Review NLP models
- Create/modify models
- Train from scratch
- Evaluate models
- Deploy AI systems
Technical Overview
Focus on NLP, deep learning, transformers, large language models, neural networks, using frameworks like TensorFlow and PyTorch, with GPU acceleration.
Ideal Candidate
The ideal candidate is a mid-level AI/NLP engineer with 3+ years of experience in deep learning, transformers, and large language models, proficient in Python and GPU technologies, capable of developing and refining NLP models.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with NLP or deep learning, No proficiency in Python, No experience with transformers or large language models
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