Senior Data Scientist

Jconnect Infotech Pvt. Ltd.; Pune District, Chennai, Bengaluru; Hybrid; INR 1,500,000 - 2,500,000; Full time

Job summary

Jconnect Infotech Pvt. Ltd. is seeking a Data Scientist in a hybrid role, with immediate joining preferred, to work on scalable ML models across pan-India locations.

The candidate will design, train, deploy, and manage production-ready models using Python, PyTorch, scikit-learn, and Vertex AI, while orchestrating workflows with Argo and Kubernetes. Strong GCP and MLOps skills are essential.

Qualifications

• Proficient in Python and machine learning libraries.
• Hands-on experience with GCP services and Vertex AI.
• Experience deploying ML models and building inference pipelines.
• Familiar with model monitoring, drift detection, and retraining.
• Understanding ML lifecycle from data to production.

Responsibilities

• Develop and validate ML models using Python, PyTorch, scikit-learn, or CatBoost.
• Perform feature engineering, EDA, and model evaluation.
• Use Vertex AI for training and hyperparameter tuning.
• Orchestrate ML workflows with Argo Workflows and Kubernetes.
• Build and optimize training and inference pipelines.
• Manage model artifacts with Google Cloud Storage.
• Implement model versioning, monitoring, drift detection, and retraining.
• Troubleshoot production pipelines and provide on-call support.

Skills

Strong Python and ML expertise

GCP Vertex AI experience

Kubernetes and Argo Workflows

MLOps, deployment and inference

Model evaluation and lifecycle 관리

Tools

Kubernetes

Argo Workflows

Google Cloud Storage (GCS)

Job description

Job Title: Data Scientist

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:

• Strong 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.