AI Engineer

Responsibility

The common responsibilities for this position include creating and managing AI development, defining strategies and plans for production infrastructure, fine-tuning, deploying, and operating foundation models, and optimizing AI infrastructure for business value. The role involves building AI models from scratch, transforming machine learning models into APIs, and collaborating across teams for AI adoption and best practices. Responsibilities also include developing and maintaining AI testing frameworks, preprocessing large datasets, and debugging AI systems. The position requires monitoring and evaluating deployed models, conducting data analysis, and implementing AI-driven solutions while ensuring compliance with business and regulatory requirements. Additionally, the role involves driving end-to-end AI solution development, collaborating with cross-functional teams, and staying updated on advancements in AI technologies.

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%