Number of Applicants
:000+
1. Responsible for the group client The construction of application research and development platform, the main field is the construction of AI engineering technology, and the ability to independently undertake projects and carry out good system design and implementation 2. Sort out relevant technical solutions, provide development planning plans and architectural design plans, and be able to carry out research and development according to the plans Work 3. Explore AI-driven models to upgrade R&D support platform products, and use AI capabilities to improve user experience and efficiency of wireless applications. ,1. Have solid Java or Python language skills, and have an in-depth understanding of the field of large model engineering 2. Be proficient in one of the directions of large model SFT, Agent, Prompt, vectorization, data production, etc., and be familiar with its operating principles. Good understanding 3. Understand big data, vector databases, basic data segmentation algorithms and other related technologies, and have certain experience in AI engineering practice 4. Have certain product planning and decision-making capabilities, have data sensitivity, and be good at using data Discover problems and growth points, and implement platform products 5. Be able to withstand a certain amount of work pressure, have a sense of responsibility and self-motivation, be able to improve oneself through continuous learning, be responsible, have strong execution ability, and be willing to share 6. Have a large model Priority will be given to those with practical engineering experience, and those with R&D experience in open source Agent, Prompt engineering and other fields will be given priority.
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