Job Description
Key Responsibilities
- Translate business problems into Machine Learning problems , selecting appropriate modeling approaches and metrics.
- Prepare, split, and label datasets to support robust model training and evaluation.
- Define and compute features from multiple data sources.
- Design, execute, and evaluate experiments to assess model performance.
- Build, deploy, and maintain Machine Learning models in production using MLOps best practices .
- Define and monitor model performance and drift metrics , triggering model retraining when required.
- Collaborate closely with engineering and business stakeholders to ensure scalable and reliable solutions.
Required Skills & Experience
- 2+ years of experience building and deploying Machine Learning models in production.
- Hands-on experience with MLOps setups , including C...
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