Work Model: Hybrid
Joining: Immediate Joiners Preferred
Location Pan India
Role Overview:
We are looking for a Data Scientist with strong hands-on experience in Python, Machine Learning, GCP, Kubernetes, and MLOps to develop, train, deploy, and manage scalable, production-ready ML models.
Roles & Responsibilities:
- Develop and validate ML models using Python, PyTorch, scikit-learn, or CatBoost.
- Perform feature engineering, EDA, and model evaluation.
- Use Vertex AI for model training and hyperparameter tuning.
- Orchestrate ML workflows using Argo Workflows and Kubernetes.
- Build and optimize model training and inference pipelines.
- Manage model artifacts using Google Cloud Storage (GCS).
- Implement model versioning, monitoring,
drift detection, and retraining.
- Troubleshoot production pipelines and participate in on-call support.
Required Skills:
- Robust Python and Machine Learning expertise.
- Hands-on experience with GCP and Vertex AI.
- Experience with Kubernetes and Argo Workflows.
- Knowledge of MLOps, model deployment, and inference.
- Understanding of model evaluation, monitoring, and lifecycle management.
Good to Have:
- Experience with batch and real-time inference.
- Knowledge of CI/CD, model drift detection, and automated retraining.
📌 Senior Data Scientist (Pune)
🏢 Jconnect Infotech
📍 Pune
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