Machine Learning Engineer, Sarvam Studio

Sarvam

Bengaluru

On-site

INR 1,500,000 - 2,800,000

Full time

14 days+
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Job summary

Sarvam is building a scalable, AI-powered dubbing platform in Bengaluru and seeks a Machine Learning Engineer to enhance reliability, performance, and production readiness across languages and content formats.

You will design, deploy, and optimize ML systems, run experiments, and collaborate with product, engineering, and operations teams to deliver robust features and well-documented workflows.

Qualifications

  • Strong foundation in machine learning and deep learning.
  • 3–6 years of relevant industry experience in ML/AI.
  • Experience deploying ML systems in production environments.
  • Proficiency in Python and modern ML frameworks (e.g. PyTorch).
  • Solid understanding of model optimisation, debugging, and performance tuning.
  • Experience working with GPU-based workloads.

Responsibilities

  • Design, build, and maintain ML systems that power the dubbing platform.
  • Develop automated validation and monitoring mechanisms to ensure consistent system behaviour.
  • Optimise model inference pipelines for performance, cost, and reliability.
  • Build data and evaluation workflows to support continuous improvement.
  • Run experiments and validate changes before production rollout.
  • Collaborate with product, engineering, and operations teams to deliver high-quality features.
  • Document systems, workflows, and best practices.

Skills

Machine learning & deep learning
Production ML experience
GPU-based workloads
Data-driven validation and monitoring

Tools

Python
PyTorch

Job description

About Sarvam

Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.


About the Role

We are building a scalable, AI-powered dubbing platform used across multiple languages and content formats. We are looking for a Machine Learning Engineer to improve system reliability, performance, and production readiness through data-driven methods and automation.


What You’ll Do


  • Design, build, and maintain ML systems that power the dubbing platform


  • Develop automated validation and monitoring mechanisms to ensure consistent system behaviour


  • Optimise model inference pipelines for performance, cost, and reliability


  • Build data and evaluation workflows to support continuous improvement


  • Run experiments and validate changes before production rollout


  • Collaborate with product, engineering, and operations teams to deliver high-quality features


  • Document systems, workflows, and best practices



What We’re Looking For


  • Strong foundation in machine learning and deep learning


  • 3-6 years of relevant industry experience in ML/AI


  • Experience deploying ML systems in production environments


  • Proficiency in Python and modern ML frameworks (e.g. PyTorch)


  • Solid understanding of model optimisation, debugging, and performance tuning


  • Experience working with GPU-based workloads



Bonus Points


  • Experience with speech, audio, or multimodal systems


  • Familiarity with large-scale ML infrastructure and cloud platforms


  • Exposure to distributed systems, containers, and orchestration tools


  • Experience building evaluation frameworks for ML systems



Why Sarvam?

Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.



  • Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar


  • High ownership and high impact, from day one


  • Everything we do is AI-first, from the way we build and ship to the way we think about problems


  • You can work on problems that could change how an entire country learns, works, and communicates



If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.

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