Job Summary
The role involves the design, construction, and implementation of machine learning models aimed at enhancing real-time decision-making, creating personalized recommendations, and developing systems for fraud detection. You will oversee the complete lifecycle of these models, starting from the mathematical formulation and data handling to their deployment in a production environment and ongoing monitoring.
Responsibilities
- Design and develop machine learning models for real-time insights and applications.
- Manage the entire lifecycle of machine learning models, including their inception, data preparation, production rollout, and performance tracking.
- Implement models for personalized user experiences and fraud detection.
- Ensure the performance and reliability of deployed machine learning systems.
Qualifications
- A Master’s or PhD in a relevant STEM discipline.
- Minimum of 5 years of hands-on experience in constructing and deploying machine learning systems.
- Strong expertise in mathematics, deep learning methodologies, and large-scale data processing frameworks.
