26 Jan 2025 006P200000Sknbtiab_1737983665 Tech Lead Ai €50000 - €55000 Per Annum Milan Milano

26 Jan 2025 006P200000Sknbtiab_1737983665 Tech Lead Ai €50000 - €55000 Per Annum Milan
Milano
Lombardia, Milano

Senior Technical Team Lead AI (Healthcare) We are seeking a Senior Technical Team Lead AI (Healthcare) to join our team within a unit focused on innovation and the development of advanced Artificial Intelligence-based solutions, with a particular emphasis on the healthcare sector. Key Responsibilities: Build strong relationships with clients and manage diverse projects effectively. Lead and support the technical team by sharing expertise and knowledge. Foster team growth by leveraging individual skills while maintaining a balance between resource management and financial objectives. Continuously expand knowledge of client needs and opportunities presented by emerging technologies. Take ownership of team deliverables, ensuring alignment with project goals and quality standards. Gather essential requirements for designing solutions and proposals, applying a structured approach to problem-solving and delivery. Exhibit strong professional expertise in complex or sensitive situations, providing guidance to junior colleagues and acting as a point of reference for clients. Experience in clinical data analysis and translating data into practical healthcare solutions will be highly valued. Requirements: Degree in STEM disciplines (Science, Technology, Engineering, Mathematics). Expertise in designing solutions involving Machine Learning models and Artificial Intelligence algorithms. Strong proficiency in Python and its libraries for machine learning and data analysis (e. g. , Pandas, TensorFlow, NumPy). Experience in data analysis and visualization tools such as Microsoft Power BI. Hands-on experience with Machine Learning and AI techniques, particularly in predictive and classification problems. Familiarity with Microsoft Azure tools and technologies, including Azure Machine Learning, Azure Data Factory, Azure Synapse Analytics, and Azure Cognitive Services. Nice to Have: Experience in the clinical domain, including knowledge of healthcare information systems and challenges related to clinical data analysis. Familiarity with ETL processes and data integration from various hospital or healthcare systems. J-18808-Ljbffr