stakeholders. Ensure adherence to deadlines and inject urgency when necessary. Understanding product and
not a requirement MVVM Architecture Dependency injection - Hilt / Koin / Dagger 2 is beneficial Retrofit
Looking for a highly talented Product Lead in Machine Learning to join a dynamic Engineering team. Create Create and facilitate the delivery of the Machine Learning roadmap for the company's key AI focus areas areas. Work hand-in-hand with a team of dedicated machine learning engineers, aiming to deliver projects of machine learning project outputs from your machine learning team by other internal non-machine learning for driving meaningful business results through machine learning solutions and then work with stakeholders
and our thrilling Hybrid Workplace Model. Jet-Setters Dream: Top performers get a chance to jet off to
SonarQube Micro Services DevOps IoC / Dependency Injection Browser Developer Tools Engineering Principles
curating, and analyzing datasets and training machine learning models within the Conversational AI platform delivery/implementation. General understanding of machine learning core concepts (classification, clustering underfitting). Experience applying supervised machine learning techniques to real-world problems. Decent
engines and services by applying strong expertise in machine learning, data mining and conducting information behaviour.
such as Python, Microsoft, AWS, Hadoop, Big Data, Machine Learning or Cloud Infrastructure Requirements: Knowledge and working with large scale data sets Machine learning techniques experience Working within an Identify and implement data mining / statistics / machine learning techniques Validate and test models Review
in leading BI teams, and experience in AI and Machine Learning technologies, with a solid understanding SQL and ETL processes Experience with AI and Machine learning technologies Solid understanding of contact reporting Lead initiatives to integrate AI and machine learning technologies into BI framework Data management