Job Title: Data Scientist

Work Model: Hybrid
Joining: Immediate Joiners Preferred

Location Pan India

Role Overview:
We are looking for a Data Scientist with robust 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.

Positive to Have:
Experience with batch and real-time inference.
Knowledge of CI/CD, model drift detection, and automated retraining.

📌 Senior Data Scientist Pune (India)
🏢 Jconnect Infotech
📍 India