Data Scientist / Machine Learning EngineerThe role will be based in the Artificial Intelligence practice within Mastercard Labs.
Mastercard Labs operates in a fast-paced, rapid-turnaround fashion, and projects tend to be relatively short pilots, proofs-of-concept or MVPs.The successful candidate will be focused on delivering an AI / computer vision projectThe successful candidate will be well-versed in a wide range of data science, machine learning and artificial intelligence techniques, and will be able to make informed judgements as to the most appropriate approach to the problem at hand.
Technical skills required include:
Knowledge of modern machine learning and computer vision approaches including
Knowledge of deep neural networks, TensorFlow and TensorFlow mobile
Knowledge of capture and preparation of video and image data for training
Deployment and management of machine vision training infrastructure on GPU clusters
Experience of moving machine learning models through the various stages of research, development, testing and into production
Experience with general good software engineering practices (agile, test-driven, etc.)
General software architecture (inc. back-end and front-end)
Soft skills required include:
Technical team leadership – making informed technical choices
Project management – leading the delivery of the technical elements of the project in a timely fashion
Good communication and relationship skills – working with team members as well as other Stakeholders such as product managers, account teams, customers, etc.
Ability to work and lead a remote team
Education
Post-graduate degree (MSc or PhD) in a relevant discipline preferred
