Senior Engineering Manager, Data Science
Tasks
- Architect and scale machine learning models
- Build and maintain MLOps pipelines
- Coordinate with product platform engineering and leadership
- Define core KPIs and drive continuous delivery
- Deploy machine learning models to production
- Ensure model accuracy and measurable business impact
- Govern machine learning models and drive automated monitoring
- Lead mentor and grow data science and analytics team
- Own data science strategy and technical roadmap
Perks/Benefits
- Creche allowance
- Internal mobility
- Lab days
- Leadership programs
- Learning and development allowance
- Mentoring
- Modern tools
- National pension scheme
- Office flexibility
- Voluntary provident fund
Skills/Tech-stack
Automated Monitoring | BigQuery | Data Governance | Data Privacy | Docker | Fraud Detection | Kubernetes | MLOps | Machine Learning | Pandas | PyTorch | Python | SQL | Scikit-learn | Spark | TensorFlow | Unit Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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