Grow out and lead a team of Deep Learning engineers
Steward the end-to-end planning, execution, and delivery of a scoped machine learning applied science agenda
Act as the primary point of contact with infrastructure and data pipeline teams
Exhibit strong judgement in derisking core hypotheses and updating research direction informed by ongoing advances in the state of the art

Graduate degree in Artificial Intelligence/Machine Learning or related
Publication record in top AI/ML/CV venues or other evidence of advancing the state of the art in one or more AI subfields
Proven experience as an Engineering Manager in a customer facing AI/ML team
Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development or aerospace
Prior experience having a team of around 5 direct reports, establishing ways of working, and developing them to be high performing
High attention to detail and conscientiousness
Ability to translate customer requests and turn them into actionable technical requirement documents in collaboration with ML engineers
Fluency with the entire machine learning lifecycle, including infrastructure for data, training and deployment
Fluency with machine learning fundamentals
Familiarity with Python, Git, PyTorch and the Unix shell
Familiarity with collaborative tools such as Jira/Confluence, Slack, a Git server, an experiment tracking framework, a data dashboard app

Tech Lead, AI/ML Engineering

Key skills