Senior AI Engineer

Responsibility

The common responsibilities for this position include collaborating with clients and partners to deliver socially beneficial work, engaging in sustainable development initiatives, and supervising engineering projects. The role involves developing AI applications using data engineering, backend, and database development, as well as implementing ELT processes, Lakehouse architecture, NLP, and predictive models. Additionally, it requires analyzing and managing datasets in various formats and working with cloud/software platforms such as AWS, Spark, and Databricks. The engineer will lead the design, development, and deployment of AI projects, including machine learning models and data pipelines, while ensuring alignment with business goals through collaboration with cross-functional teams. Responsibilities also encompass conducting rigorous testing, validation, and optimization of AI models, mentoring junior engineers, and contributing to the continuous improvement of engineering processes and methodologies. Furthermore, the position involves designing and implementing scalable data pipelines, building predictive models, and developing generative AI applications for various domains.

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%