Position Details
About this role
This role involves owning the end-to-end ML strategy for customer risk insights, including model development, deployment, monitoring, and continuous improvement.
Key Responsibilities
- Own ML strategy and performance
- Embed risk predictions into workflows
- Monitor and improve models
- Lead cross-functional alignment
- Ensure model explainability and trust
Technical Overview
Focus on ML model strategy, deployment, performance monitoring, explainability, and bias mitigation, leveraging tools like Python, TensorFlow, PyTorch, and cloud platforms.
Ideal Candidate
The ideal candidate is a senior ML expert with at least 7 years of experience owning end-to-end ML strategies, deploying models, and translating business needs into technical solutions. They excel in cross-functional collaboration and model performance optimization.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 7 years of ML experience, Lack of experience with model deployment and monitoring, No experience translating business needs into ML solutions
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