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 24, 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 full-time, remote position focuses on building and operating production-grade machine learning systems that drive critical commercial decisions at scale. The ideal candidate will bridge the gap between ML research and scalable software engineering.

Job details

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

Responsibilities

  • Architect and deploy production ML systems that support large-scale commercial decision making.
  • Optimize ML pipelines for performance, reliability, and scalability in a live environment.
  • Collaborate with cross-functional teams to integrate ML models into core product offerings.
  • Monitor and maintain the health of deployed models to ensure consistent accuracy and uptime.
  • Implement rigorous testing and validation frameworks for machine learning workflows.

Requirements

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

Benefits

  • Competitive annual salary in INR
  • Fully remote work flexibility
  • Opportunity to work on high-impact AI systems
  • Professional growth in a scaling tech environment

Keywords

Machine LearningMLOpsPythonProduction MLScalable SystemsApplied AISoftware Engineering