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. Work Work hand-in-hand with a team of dedicated machine learning engineers, aiming to deliver projects reliably adoption and integration of machine learning project outputs from your machine learning team by other internal internal non-machine learning software engineering teams. Own and drive agile events like Sprint Grooming and
and services by applying strong expertise in machine learning, data mining and conducting information retrieval
Python, Microsoft, AWS, Hadoop, Big Data, Machine Learning or Cloud Infrastructure Requirements: Degree Knowledge and working with large scale data sets Machine learning techniques experience Working within an Agile Identify and implement data mining / statistics / machine learning techniques Validate and test models Review
leading BI teams, and experience in AI and Machine Learning technologies, with a solid understanding of 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
opportunities through statistical, algorithmic, machine learning and visualisation techniques.
objectives.
field
projects, using sophisticated analytics and Machine Learning models to address difficult business challenges roles, including hands-on experience with Machine Learning and Statistical Analysis. You must also be Analysis and Modeling – Develop and deploy Machine Learning and Artificial Intelligence models and algorithms roles, including hands-on experience with Machine Learning and Statistical Analysis. Proficiency in Data
Data Scientist with a strong background in machine learning. The ideal candidate must be willing to travel Analysis and Modelling: Develop and deploy machine learning and artificial intelligence models and algorithms roles, including hands-on experience with machine learning, deep learning, and statistical analysis Proficiency Proficiency in data analysis and machine learning tools and libraries e.g. Python, R Strong programming