The common responsibilities for this position include collaborating with data scientists and machine learning engineers to develop and deploy stable machine learning services in production. Supporting the creation of ML solutions that enhance organizational success through teamwork is essential. The role involves developing and deploying data-driven solutions, addressing challenges in areas such as NLP, Generative AI Applications, Computer Vision, and Structured Data Modelling. Additionally, monitoring and evaluating the effectiveness and health of solutions, conducting rigorous testing, validation, and optimization of AI models, and designing, developing, and optimizing state-of-the-art AI systems, including large language models (LLMs), are key duties. The position requires driving the roadmap for AI development, building and enhancing AI capabilities for algorithmic trading, and collaborating with cross-functional teams to integrate AI solutions into workflows. Mentoring junior engineers and fostering a culture of innovation and technical excellence are also significant responsibilities. Furthermore, designing and implementing scalable data pipelines, developing applications using frameworks like Lang Chain and LangGraph, and overseeing data tagging processes for insight generation and model training are included in the role.
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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