Related skills
bigquery python pandas airflow scikit-learn📋 Description
- Design and deploy ML models for fraud detection, pricing, and auto-filling shipments
- Build regression, classification, ranking, and time-series models on logistics and transactional data
- Own ML lifecycle end-to-end: exploration, feature engineering, training, deployment, monitoring
- Collaborate with Product, Engineering, and Ops to deliver production ML systems
- Operate in a lean, fast-moving environment with cross-functional teams
🎯 Requirements
- 3+ years in ML, Applied ML, or Data Science
- Experience building and deploying ML models into production
- Experience building fraud detection models
- Strong Python (Pandas, NumPy, Scikit-learn) and advanced SQL
- Familiar with GCP ecosystem (BigQuery, Airflow, Dataform, Vertex AI)
- Comfortable end-to-end ML lifecycle: problem framing, feature engineering, deployment, monitoring
🎁 Benefits
- Stock units
- Comprehensive health coverage
- Gym and wellness expense reimbursement
- Zomato digital meal credits
- Work from Anywhere for 4 weeks per year
- Generous vacation policy with duvet days and mental health days
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