Data Science

06 ago - Italia
Elettrotecnica

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You'll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.This position reports to:Global Quality ManagerYour Role and ResponsibilitiesWe are seeking a talented and motivated individual to join our team. Working closely with our experienced data scientists and engineers, you will contribute to the development of AI based innovative solutions for Industrial applications focusing on aesthetic anomalies detection, predictive maintenance, and Agentic AI systems.Work model: #LI-onsiteIn this role, you'll help run what runs the world by taking on meaningful work that drives real impact, as you will be accountable for:Develop AI solutions for aesthetic Anomaly Detection for industrial quality assurance,



predictive maintenance and advanced AI Agents working with internal company dataConduct research and analysis about latest AI advancements with the aim of adopting them in the industrial manufacturing fieldEvaluate and interpret model results and provide actionable insights and recommendationsCollaborate with engineering teams to integrate models and algorithms into our existing systemsDevelop applications for data collection and manage Industrial IoT solutionsCommunicate findings and recommendations to stakeholders in clear and concise waysQualifications for the RoleYou have a Master's degree in Computer Science, Data Science or related fieldsYou have knowledge of machine learning, deep learning and artificial intelligence principles and algorithmsYou have knowledge of Python, SQL and other data science tools and librariesYou are familiar with computer vision technologiesYou are familiar with AzureML, Agentic AI Framework as LangChain or LlamaIndex or protocols as MCPYou have familiarity with Edge AI hardware solutions like Nvidia Jetson or Raspberry Pi. You have familiarity with CI/CD and MLOps solutionsYou h

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