Responsibilities
1. Construct the evaluation system, standards and algorithms for various application scenarios of large models in the field of big data to ensure accurate measurement of model effects 2. Promote the algorithmic construction of evaluation, develop and continuously optimize corresponding automated evaluation algorithms and models for different application scenarios, and achieve iterative upgrades 3. Work closely with the business team to deeply understand the needs, provide professional large model evaluation support, and promote efficient business development 4. As a technical leader, lead the team to continuously explore and innovate, improve technical strength, ensure project progress and quality, and maximize the team's effectiveness.
Qualifications
1. Proficient in machine learning and deep learning algorithms is preferred, and can skillfully use a variety of evaluation indicators to provide solid technical support for the evaluation of large model effects 2. Have a deep understanding of business needs in the field of big data, accurately grasp the application value of large models in different scenarios, and achieve the perfect integration of technology and business 3. Priority is given to having excellent leadership skills, motivating team members to make progress together, efficiently coordinating resources, and ensuring smooth progress of the project 4. Pay attention to the cutting-edge technology of the industry, be brave in innovation and breakthroughs, establish technical benchmarks in the field of large model evaluation, and enhance the technical influence of the team and the company 5. Bonus points: Priority will be given to those who have experience in large model training and evaluation, can quickly get started and bring valuable practical experience to the team, those who have experience in large model application from 0 to 1, are good at pioneering and innovating, and can inject new vitality into business development.
