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Data Scientist

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Onsite

Data Scientist

Jconnect Infotech

Data Scientist

Skills

Google Cloud PlatformDockerPythonPyTorchTensorFlowMachine LearningAIKubernetes

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹900,000 – ₹4,300,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

7 September 2026

What they need


Hiring: Data Scientist

Employment Type: Full-Time
Location: Pan India
Work Mode: Hybrid

Job Overview

We are looking for an experienced Data Scientist with strong expertise in Google Cloud Platform (GCP), Python, Machine Learning, MLOps, and Vertex AI. The ideal candidate will be responsible for designing, developing, deploying, and maintaining scalable machine learning solutions while implementing end-to-end MLOps pipelines on Google Cloud.

Key Responsibilities

  • Develop, train, evaluate, and optimize Machine Learning models using Python.
  • Build and deploy production-ready ML solutions on Vertex AI.
  • Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and retraining.
  • Perform feature engineering, data preprocessing, and model validation.
  • Deploy and manage ML workloads using Kubernetes and Argo Workflows.
  • Work with Google Cloud Storage (GCS) and other GCP services for scalable data processing.
  • Monitor model performance, ensure reliability, and automate ML lifecycle management.
  • Collaborate with Data Engineers, ML Engineers, and business stakeholders to deliver AI-driven solutions.
  • Follow best practices for model versioning, CI/CD, and production deployment.

Required Skills

  • Strong programming experience in Python
  • Hands-on experience with Google Cloud Platform (GCP)
  • Expertise in Machine Learning using Scikit-learn, TensorFlow, or PyTorch
  • Strong experience with Vertex AI
  • Hands-on experience in MLOps and ML lifecycle management
  • Experience with Kubernetes and Argo Workflows
  • Experience working with Google Cloud Storage (GCS)
  • Strong knowledge of Feature Engineering, Model Evaluation, and Model Validation
  • Experience in Production Model Deployment and monitoring
  • Understanding of CI/CD pipelines for Machine Learning applications

Preferred Skills

  • Experience with Docker and containerized ML deployments
  • Knowledge of BigQuery, Cloud Build, or Cloud Composer
  • Experience with ML model monitoring and observability
  • Familiarity with Generative AI/LLMs is an added advantage

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