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).