Job Summary

Build, train, and validate machine learning models. Develop automated workflows for model inference and post-processing. Optimize production ML pipelines for performance and scalability. Manage model artifacts, versions, and metadata using GCS and model registries. Support production monitoring, model quality, and reliable inference operations.

Required Skills and Experience

- Strong Python programming for Data Science and Machine Learning.
- Hands-on experience with PyTorch, scikit-learn, CatBoost, or similar ML frameworks.
- Experience with Google Cloud Vertex AI for model training and validation.
- Hands-on knowledge of Kubernetes and Argo Workflows.
- Solid understanding of feature engineering, EDA, model evaluation, and validation.
- Experience deploying models for production inference.
- Knowledge of MLOps, model versioning, monitoring, and lifecycle management.
- Familiarity with model drift detection, retraining strategies, and CI/CD for ML pipelines.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 DATA SCIENTIST (Noida)
🏢 Leonstride Technologies
📍 Noida