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Lead Machine Learning Engineer
1 month ago
Haleon is a world-leading consumer health company, and we're shaping the future of everyday health for billions of people. We're looking for a talented Lead Machine Learning Engineer to join our team and help us drive innovation in our AI strategy.
This is an exciting opportunity to lead the expansion of our ML Ops team in the GCC and transform our ways of working. You'll work closely with our Data Platforms and Architecture team to deliver a platform that enables Full ML Automated Operations.
Key Responsibilities- Lead hiring and building a great pool of Machine Learning Engineers for your team in GCC IN and support the recruitment activities of other data & technology functions.
- Motivate & coach colleagues within the Machine Learning Engineering team to help them develop technical excellence.
- Define ML standards as part of the AI leadership team.
- Contribute to all aspects of the Data Science Project Lifecycle, with a focus on scalable operation and productionisation.
- Coordinate and manage competing priorities across Haleon's portfolio of AI projects.
- Provide leadership and guidance on the development and monitoring of ongoing data engineering pipelines and the delivery of ML models from prototypes to production.
- Own and define the key performance indicators (KPIs) and diagnostics to measure and monitor AI model performance against business goals.
- Deliver Responsible AI at scale with best-in-class implementation of model explainability, reliability, security, documentation and bias mitigation in line with Haleon's Responsible AI policy and standards.
- Deliver best in-class management of production cost and AI sustainability across Haleon's AI portfolio.
- Build and maintain strong partner relationships for 3rd party supported ML Ops at Haleon.
- 13+ years of experience in Machine Learning Engineering, with at least 5 years in a leadership role.
- 8 years of experience in Machine Learning Engineering, with at least 4 years in a leadership role.
- BSc in a Maths, Science, Computational Engineering or a similar scientific/ engineering discipline.
- MSc/ PHD preferred.