AI Engineer

Responsibility

The common responsibilities for this position include collaborating with teams to conduct research in generative AI and large language models, developing and implementing algorithms to enhance AI capabilities, designing and training deep learning models using frameworks like PyTorch and TensorFlow, analyzing data to evaluate model effectiveness, integrating AI models into applications, and staying updated on advancements in AI technologies. Additionally, the role involves documenting research findings, contributing to intellectual property, managing the development of AI-driven solutions, optimizing performance of AI systems, and providing engineering support for AI products. The AI Engineer will also be responsible for developing Proof of Concepts, conducting testing and evaluation of AI-generated outputs, and collaborating with cross-functional teams to ensure successful delivery of AI solutions.

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%