Lead Machine Learning Engineer

Key Responsibilities :

• Team Leadership & Hiring :
• Lead recruitment efforts for Machine Learning Engineers (MLEs) within GCC IN.
• Support talent acquisition for other Data Technology functions.
• Build and retain a high-performing team of ML Engineers.
• Coaching & Development :
• Mentor and coach team members to foster technical excellence.
• Cultivate a high-impact, collaborative engineering culture.
• ML Standards & Best Practices :
• Contribute to the definition and implementation of ML standards within Haleon's AI leadership team.
• Promote engineering best practices across the ML lifecycle.
• Project Portfolio Management :
• Coordinate and manage competing priorities across Haleon's AI project portfolio.
• Ensure timely, scalable delivery of AI solutions.
• Model Productionisation & Deployment :
• Lead efforts to scale ML models from prototype to production.
• Oversee robust, secure, and automated data pipelines and monitoring frameworks.
• Performance Monitoring & KPIs :
• Define and manage KPIs and diagnostics to evaluate model performance.
• Align model outputs with business objectives.
• Responsible AI Implementation :
• Ensure model development adheres to Haleon's Responsible AI policy.
• Lead initiatives for explainability, bias mitigation, security, and documentation.
• AI Cost & Sustainability :
• Manage production costs and promote sustainability across the AI portfolio.
• Optimize infrastructure and operational efficiency of deployed ML solutions.
• Vendor & Partner Management :
• Build and maintain strategic relationships with 3rd-party ML Ops vendors and technology partners.

Minimum Qualifications :

Preferred Qualifications :

Skills Required

Recruitment, Version Control, Supply Chain, Forecasting, Machine Learning, Data Science, Monitoring