Deep Learning Engineer

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:

• Strong 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).