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 and results, as well as handling data preprocessing, cleaning, and ensuring data quality and diversity. Additionally, designing evaluation strategies for large models, exploring new metrics for performance assessment, and analyzing results to identify strengths and weaknesses are key tasks. Collaboration with product teams to understand business needs and implement solutions is essential, along with staying updated on the latest technology and industry trends. Other responsibilities include leading the design and deployment of AI/ML models, architecting scalable backend services, mentoring junior developers, and contributing to the development of machine learning services in production.

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%