AI Engineer

Responsibility

The common responsibilities for this position include designing, developing, and optimizing AI models and algorithms, particularly for large language models (LLMs) and deep learning applications. The role involves conducting research on advanced AI and machine learning techniques, collaborating with cross-functional teams to integrate domain-specific knowledge, and performing data preprocessing for various tasks. Responsibilities also include fine-tuning and optimizing AI models, deploying AI solutions into production environments, and monitoring their performance. Additionally, the AI Engineer will be tasked with developing and implementing algorithms for NLP, NLU, and NLG applications, managing the entire model lifecycle, and providing technical documentation and support. The position requires staying updated with the latest advancements in AI technologies and contributing to the continuous improvement of AI capabilities within the organization.

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%