Related skills
snowflake sql python tensorflow pytorch📋 Description
- Design, develop, and deploy ML models to solve business problems.
- Utilize Python and SQL for data analysis and modeling.
- Work with Snowflake or similar large-scale data platforms for ETL.
- Own the full model lifecycle from framing to production deployment.
- Monitor post-production models: metrics, drift, retraining triggers.
- Set up scoring and inference pipelines for batch and real-time workloads.
🎯 Requirements
- Bachelor's degree in CS, Statistics, Mathematics, or related field.
- 3-5 years of professional experience in data science or applied analytics.
- Deployed multiple ML models to production with monitoring and drift alerting.
- Proficiency with Python and SQL; experience with Snowflake/BigQuery/Redshift.
- Experience with ML frameworks such as Scikit-learn, XGBoost, PyTorch, or TensorFlow.
- Experience with MLflow or Weights & Biases and cloud platforms (AWS/GCP/Azure).
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