Senior AI Engineer

Responsibility

The common responsibilities for this position include transforming theoretical research of large models into practical applications for B2B/B2C, enhancing model effectiveness through system design, algorithm optimization, and performance tuning. The role involves writing technical documents and experiment reports to document the model development process, results, and analysis of issues. Responsibilities also include handling data preprocessing and cleaning, overseeing data collection, processing, and annotation to ensure quality and diversity, and designing evaluation strategies for large models, exploring new metrics to assess performance. Collaboration with the product team to understand business needs and implement large model solutions is essential. Additionally, the role requires collaborating with data scientists and machine learning engineers to develop and deploy stable machine learning services, supporting the creation of data-driven solutions, and addressing challenges in areas such as NLP, Generative AI, and Computer Vision. Driving the roadmap for AI development, designing and optimizing AI systems, conducting testing and validation of models, and mentoring junior engineers are also key responsibilities.

Job Growth

Skills Requirement

The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.

• Skill Categories
• Specific Skill Sets

Skills Distribution

The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.

• More Than 70%
• More Than 50%
• More Than 30%
• More Than 10%