AI开发工程师

1、Technical Skills:
1.1 Expertise in AI and machine learning development, with proficiency in programming languages such as Python, Java, React, Vue.
1.2 Solid hands-on experience with major AI frameworks, including TensorFlow, PyTorch, Keras, and Scikit-learn.
1.3 Proficient in data manipulation using Python libraries such as Pandas and NumPy.
1.4 Strong understanding of statistical methods and algorithms applied in AI, with the ability to develop creative solutions.
1.5 In-depth knowledge of LLM (Large Language Models) frameworks and APIs, including Hugging Face Transformers, OpenAI API, and related tools.
1.6 Expertise in developing and deploying LLM-based applications such as chatbots and virtual assistants.
1.7 Strong familiarity with AI tools and Agent frameworks like Langchain, Crew AI, and Pydantic AI, as well as integration protocols like MCP and A2A.
1.8 Proven ability to fine-tune pre-trained LLMs for specific tasks and applications, optimizing model performance for real-world use cases.
2、Professional Experience:
2.1 Over 5 years of hands-on experience in AI development, machine learning, and data science.
2.2 Proven track record of successfully managing teams to develop and deploy AI solutions in a fast-paced environment.
2.3 Extensive experience in integrating LLMs into production systems and applications.
2.4 Strong project management skills, including the ability to manage agile AI projects and oversee the full development lifecycle.
2.5 Creative problem solver with a strategic mindset, comfortable thinking outside the box to deliver cutting-edge solutions.
2.6 Ability to collaborate effectively with cross-functional teams, ensuring smooth AI solution development and deployment.
2.7 Excellent communication, interpersonal, and presentation skills, with fluency in English and Chinese (Cantonese and Putonghua).