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Data Scientist

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Onsite

Data Scientist

NiSource Technologies Private Limited

Data Scientist

Skills

PythonData ScienceDatabricksMachine LearningAIKubernetesOpenShiftTerraformAzure

6 days ago

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Important information


Contract type:

Permanent

Salary:

₹1,000,000 – ₹1,400,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

15 October 2026

What they need


Job Description Lead Data Scientist

Experience: 8+ Years
Leadership Experience: Minimum 3 years in a Lead role
Location: Bengaluru

Job Overview

We are looking for an experienced Lead Data Scientist with strong expertise in Azure, Databricks, Machine Learning Engineering, and MLOps. The ideal candidate will have hands-on experience deploying and managing machine learning models in production, along with proven technical leadership skills.

Key Responsibilities

  • Lead the design, development, and deployment of machine learning solutions.
  • Build and manage end-to-end ML pipelines using Azure and Databricks.
  • Implement MLOps practices for model training, deployment, monitoring, and lifecycle management.
  • Use MLflow for experiment tracking, model versioning, and model management.
  • Deploy and manage ML models using AKS and Kubernetes.
  • Implement infrastructure automation using Terraform and CI/CD pipelines.
  • Develop scripts and automation using Python, Bash, and PowerShell.
  • Work on RAG-based solutions and integrate AI/ML capabilities into production systems.
  • Manage model deployment, scalability, reliability, and performance.
  • Provide technical leadership, mentor team members, and collaborate with data scientists, ML engineers, and DevOps teams.
  • Ensure best practices in model governance, security, and production deployment.

Required Skills

  • 7+ years of overall experience in Data Science, ML Engineering, or related fields.
  • Minimum 3 years of experience in a Lead or technical leadership role.
  • Strong expertise in Azure and Databricks.
  • Hands-on experience with MLOps and MLflow.
  • Strong knowledge of AKS, Kubernetes, Terraform, and CI/CD.
  • Experience in ML Engineering and production model deployment.
  • Proficiency in Python, Bash, and PowerShell.
  • Experience with RAG and related AI/ML technologies.
  • Knowledge of Azure Red Hat OpenShift (ARO).

Preferred Qualifications

  • Experience designing scalable, production-grade ML platforms.
  • Strong problem-solving and stakeholder management skills.
  • Experience mentoring engineers and leading technical initiatives.

Location: Bengaluru

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