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science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance.\n\nBehavioural/Soft Skills: \nStrong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplines.\nCuriosity, proactivity and critical thinking.\nExperience working according to agile principles (Working knowledge of JIRA).\nAbility to collaborate with people at all levels and with multi-office/region teams.\nAbility to work independently and juggle priorities to thrive in a fast-paced and ambiguous environment, while also collaborating as part of a team in complex situations.\n\nGood to have: \nExperience with Cloud platforms and services (AWS, Azure, GCP, etc. )\nExperience working with Big Data using PySpark/HIVE/Hadoop.\nSkills\nAI, ML, PyTorch, Python, TensorFlow, 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