Onlano
AI / Machine LearningRemote

Senior Software Engineer, Applied ML Systems

Terrabase - Company

India, ๐Ÿ‡ฎ๐Ÿ‡ณ IndiaFull-time - Senior (4-7 years)0 applicantsCloses Jul 30, 2026

Salary

INR 2,000,000 - 5,000,000 / year

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Job description

Job details

  • Location: India
  • Work mode: Remote
  • Employment type: Full-time (Not an internship)
  • Salary: INR 2,000,000 - 5,000,000 per year

Role overview

Terrabase is seeking a Senior Software Engineer specializing in Applied ML Systems to join their team in India. This is a remote, full-time position designed for an experienced engineer capable of building and operating production-grade machine learning systems that drive critical commercial decisions at scale.

Job details

This role is based in India and is fully Remote. This is a Full-time employment opportunity and is not an Internship. The offered salary range for this position is 2,000,000 INR to 5,000,000 INR.

Responsibilities

  • Design and implement production-ready ML systems that scale to handle large datasets.
  • Collaborate with cross-functional teams to translate commercial goals into technical ML requirements.
  • Optimize ML model deployment pipelines for efficiency and reliability.
  • Monitor and maintain the performance of ML systems in a live production environment.
  • Develop robust software architecture to support the lifecycle of applied machine learning models.

Requirements

  • Minimum of 6 years of experience building and operating production ML systems.
  • Proven track record of deploying ML models that drive commercial decisions at scale.
  • Strong proficiency in software engineering principles and system design.
  • Experience with MLOps tools and cloud infrastructure for model hosting.
  • Ability to work independently in a fully remote environment.

Benefits

  • Competitive salary range of 2,000,000 to 5,000,000 INR.
  • Fully remote work flexibility.
  • Opportunity to work on high-impact commercial ML systems.

Keywords

Machine LearningMLOpsProduction MLPythonScalable SystemsApplied AISoftware EngineeringData Pipelines