The common responsibilities for this position include designing, developing, and maintaining applications using Generative AI services from Microsoft, Amazon, and Google. The role involves executing prototypes, implementing production-grade applications or scripts, and integrating AI solutions with Microsoft Power Platform. Responsibilities also encompass translating business requirements into technical requirements, writing system design specifications, and ensuring application performance, quality, and responsiveness. Additionally, the analyst will assist in the implementation and fine-tuning of generative AI models using frameworks like TensorFlow or PyTorch, support data collection, preprocessing, and augmentation for model training, and participate in testing and validating models. Creating and maintaining documentation for model architectures and processes, collaborating with senior engineers and data scientists, and providing technical assistance for deployed AI solutions are also key duties. The analyst will manage activities across all phases of the software development life cycle (SDLC), including requirement analysis, design, system development, testing, deployment, and support, while liaising with IT teams, business users, and external vendors. Furthermore, building end-to-end data pipelines, embedding AI technology to implement and fine-tune analytics solutions, and managing a wide range of data sets to support analytic tools are included in the responsibilities.
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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