Lead Machine Learning Engineer

2 weeks ago

Bengaluru, Karnataka, India Haleon Full time
Job Description

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:

- Experience:
- 13+ years total professional experience.
- At least 5 years in a Machine Learning Engineering (MLE) role.
- Minimum 2 years in a technical leadership position.
- Education:
- Bachelor's degree (BSc) in Mathematics, Science, Computational Engineering, or a related field.

Preferred Qualifications:

- Experience:
- 8+ years in an MLE role, including 4+ years in a leadership capacity.
- Education:
- Master's degree (MSc) or Ph.D. in a quantitative or engineering discipline.

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