The common responsibilities for this position include designing, developing, and testing artificial intelligence systems using Large Language Models and modern machine learning algorithms. Responsibilities also involve creating reliable and scalable AI pipelines and systems to solve real-world business problems, while ensuring AI solutions are robust, production-ready, and optimized for performance. Collaborating with data scientists, data engineers, system architects, and product managers to translate technical requirements into innovative machine learning solutions is essential. Additionally, the role includes conducting product evaluation, testing, verification, and bug fixing, as well as monitoring and enhancing the performance of AI products. Developing scalable and maintainable data-driven solutions, implementing data pipelines, and fostering an engineering mindset to promote best practices and data-driven decision-making across the organization are also key duties. The position requires researching state-of-the-art machine learning technologies and exploring advanced AI technologies to enhance model performance and contribute to ongoing projects.
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.
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.
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Academic degree required as indicated by all job postings
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