Data Scientist
Tasks
- Collaborate with engineering and product teams
- Contribute to feature store development
- Develop end-to-end machine learning solutions
- Implement scalable ML pipelines
- Monitor production systems for drift and anomalies
- Operationalise models with CI/CD and MLOps
- Run experiments to measure model performance
- Stay updated with ML and MLOps trends
Perks/Benefits
- Employee resource groups
- Hybrid work
- Mental health initiatives
- Paid leave
- Parental leave
- Social clubs
- Training programs
Skills/Tech-stack
Databricks | Kubeflow | MLOps | MLflow | Machine Learning | PySpark | PyTorch | Python | SQL | Scikit-learn | Statistical Modelling | TensorFlow
Education
Roles
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