Develop and implement machine learning algorithms to solve business problems; Design and implement scalable data processing and machine learning pipelines; Evaluate and improve the performance of machine learning models; Communicate technical concepts and ideas to both technical and non-technical stakeholders; Sharing your knowledge by giving brown bag sessions, tech talks, and evangelising appropriate tech and engineering best practices
Requirements:
PhD or Masters's Degree in Computer Science, Mathematics, or Statistics a similar technical field of study with a specialisation in Machine Learning, Data mining, Information Retrieval or Data science; 10+ years of industry experience in building production-grade machine learning systems with all aspects of research, model training, tuning, deploying, serving and monitoring. Industry experience in ecommerce, recommender systems, digital marketing or two-sided marketplaces is a plus
Text:
Principal Applied Scientist/Machine Learning Engineer Develop and implement machine learning algorithms to solve business problems; Design and implement scalable data processing and machine learning pipelines; Evaluate and improve the performance of machine learning models; Communicate technical concepts and ideas to both technical and non-technical stakeholders; Sharing your knowledge by giving brown bag sessions, tech talks, and evangelising appropriate tech and engineering best practices PhD or Masters's Degree in Computer Science, Mathematics, or Statistics a similar technical field of study with a specialisation in Machine Learning, Data mining, Information Retrieval or Data science; 10+ years of industry experience in building production-grade machine learning systems with all aspects of research, model training, tuning, deploying, serving and monitoring. Industry experience in ecommerce, recommender systems, digital marketing or two-sided marketplaces is a plus
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