The common responsibilities for this position include developing innovative AI/ML solutions and agentic systems, integrating with cloud services, and creating tools for infrastructure provisioning and monitoring. The role involves collaborating with cross-functional teams to design, build, and deliver capabilities in agile sprints, conducting mathematical analysis and designing algorithms for optimization, and developing and implementing AI services. Additionally, responsibilities include leading the design and architecture of modules and microservices, mentoring junior engineers, building and maintaining scalable web applications, and ensuring code quality through reviews and best practices. The position also requires participating in the full software development lifecycle, defining requirements, deploying and debugging applications, and continuously improving development processes, CI/CD pipelines, and code quality.
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.
Job classifications that have advertised a position
Academic degree required as indicated by all job postings
Job subclassifications that have advertised a position