Job Description
This position requires a highly motivated individual to contribute to the development of a vertical domain Q&A system similar to ChatGPT. The ideal candidate will work closely with cross-functional teams to design, implement, and deploy AI-powered solutions that address specific industry challenges. Key responsibilities include conducting in-depth research on cutting-edge techniques for fine-tuning large language models, creating robust NLP algorithms, and ensuring the system's performance meets enterprise-level standards. The role also involves collaborating on the full lifecycle of AI projects from concept to production, including model training, optimization, and integration into production environments.
Key Responsibilities
- Design and develop a domain-specific Q&A system with advanced natural language understanding capabilities
- Conduct comprehensive research on industry-leading methods for fine-tuning large-scale pre-trained models
- Implement machine learning pipelines for data preprocessing, model training, and performance optimization
- Collaborate with engineers to deploy models in production environments and ensure system stability
- Monitor system performance post-deployment and implement continuous improvement strategies
- Document technical processes and maintain clear communication with stakeholders throughout the project lifecycle
- Stay updated with the latest advancements in AI research and apply innovative solutions to technical challenges
- Participate in code reviews and contribute to the development of scalable AI architectures
- Work on optimizing model inference speed while maintaining accuracy and contextual relevance
- Collaborate on creating evaluation metrics to measure system effectiveness and user satisfaction
Job Requirements
- Currently pursuing a degree in Computer Science, Artificial Intelligence, or related field
- Proficiency in Python programming language and machine learning frameworks (e.g., TensorFlow, PyTorch)
- Strong foundation in NLP concepts including text preprocessing, tokenization, and sequence modeling
- Experience with model training, hyperparameter tuning, and performance evaluation techniques
- Knowledge of cloud computing platforms (AWS, Azure, GCP) for model deployment and scalability
- Excellent problem-solving skills with ability to analyze complex technical challenges
- Strong communication skills for collaborating with both technical and non-technical teams
- Ability to work independently while maintaining high-quality standards
- Basic understanding of software engineering principles and system architecture design
- Interest in AI research and willingness to learn new technologies and methodologies
- Preferred: Experience with large language models (LLMs) and domain adaptation techniques
- Preferred: Familiarity with DevOps practices for model deployment and monitoring
- Preferred: Background in computer vision or other AI domains as a plus
