We are seeking a highly skilled and motivated Deep Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in deep learning, optimization techniques, large language model (LLM) training and fine-tuning, knowledge graphs, DBMS, and WebSocket. A background in electronics is preferable.
Key Responsibilities:
- Develop and implement deep learning models and algorithms.
- Optimize and fine-tune large language models (LLMs) for various applications.
- Design and maintain knowledge graphs to enhance data relationships and insights.
- Manage and optimize database management systems (DBMS) for efficient data storage and retrieval.
- Implement and maintain WebSocket connections for real-time data communication.
- Collaborate with cross-functional teams to integrate deep learning solutions into existing systems.
- Stay updated with the latest advancements in deep learning and related technologies.
Qualifications:
- Robust knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with optimization techniques and algorithms.
- Proficiency in training and fine-tuning large language models (LLMs).
- Familiarity with knowledge graph construction and maintenance.
- Solid understanding of database management systems (DBMS).
- Experience with WebSocket implementation and maintenance.
- Background in electronics is a plus.
- Excellent problem-solving skills and attention to detail.
- Strong communication and teamwork abilities.
Preferred Skills:
- Experience with electronics and hardware integration.
- Knowledge of additional programming languages (e.g., Python, Java, C++).
- Familiarity with cloud platforms and services (e.g., AWS, Azure).