AI Engineer

Responsibility

The common responsibilities for this position include conducting research on AI and machine-learning techniques, developing and implementing algorithms for AI projects including large language models (LLM) and deep learning, collaborating with business owners to integrate domain-specific knowledge into AI projects, proposing, modifying, evaluating, and optimizing machine learning and deep learning models, conducting preprocessing for training models, training AI models using techniques such as prompt engineering and fine-tuning, developing and implementing AI-driven solutions and algorithms, deploying trained models into production environments, and ensuring the scalability and reliability of AI systems. Additionally, responsibilities encompass creating and managing AI development strategies, conducting proof of concept development, building data pipelines for efficient processing, and collaborating with cross-functional teams to integrate AI solutions into existing products and services.

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%