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Palantir Foundry Developer

Exclusive opportunity

Hybrid

Palantir Foundry Developer

Iitjobs Inc.

Palantir Foundry Developer

Skills

TypescriptPythonData AnalysisMachine LearningAI

2 months ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Hybrid

Published on:

17 August 2026

What they need


Overview:

Dont miss out on the opportunity to work with a well-established company in the Global healthcare solutions organization with more than a century of industry experience.

You can also refer a candidate and earn an exciting bonus of 50,000!

Job Description:

Job Title: Palantir Developer

Job Type: Contract-to-hire

Location: Pune (Hybrid)

Experience: 2+ Years

Notice Period: Immediate to 20 days

ESSENTIAL JOB FUNCTIONS

  • Develop AIenabled frontend and backend applications within Palantir Foundry
  • Build, deploy, and maintain production machine learning solutions using Foundry AI patterns
  • Collaborate with data scientists to operationalize models (training, inference, batch and realtime scoring)
  • Create and manage data models and AI feature pipelines
  • Analyze and prepare data using Code Workbook, Contour, and Quiver
  • Establish data connections, build data health and model monitoring, and analyze lineage
  • Implement ML workflows including model versioning, retraining, and performance tracking
  • Manage requests for customerfacing applications that embed AI and ML capabilities
  • Translate business problems into AIdriven solutions that deliver measurable value
  • Apply best practices for AI reliability, governance, and responsible AI usage/

EXPERIENCE MINIMUM REQUIRED:

  • 2+ years working with production machine learning or AIenabled applications
  • Experience supporting endtoend ML lifecycle (data prep, training, deployment, monitoring)
  • 25 years programming for largescale data analysis and modernization
  • Experience with code repositories and branching strategies
  • Handson experience with Palantir Foundry AI capabilities
  • Strong scripting skills for data manipulation, feature engineering, and inference
  • Proficiency in Python and TypeScript
  • Familiarity with model deployment and monitoring concepts.

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