Machine Learning Engineer, Sarvam Studio

Posted Yesterday
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
Artificial Intelligence • Software
The Role
Design, build, and maintain ML systems for a multilingual dubbing platform. Develop automated validation, monitoring, and evaluation workflows. Optimize inference pipelines for performance, cost, and reliability, run experiments, and collaborate with product and engineering to productionize models.
Summary Generated by Built In
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.

Skills Required

  • Strong foundation in machine learning and deep learning
  • 3-6 years of industry experience in ML/AI
  • Experience deploying ML systems in production environments
  • Proficiency in Python
  • Proficiency in modern ML frameworks (e.g., PyTorch)
  • Solid understanding of model optimisation, debugging, and performance tuning
  • Experience working with GPU-based workloads
  • 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
Am I A Good Fit?
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The Company
HQ: Bangalore, Karnataka
50 Employees
Year Founded: 2023

What We Do

We are an AI/ML research and development company on a mission to build reliable, performant, enterprise-grade AI systems at scale for India. We are committed to build the full-stack for generative AI for the rich & diverse landscape of India, mainly investing in: 1) Models: developing both efficient large scale Indic language models as well as bespoke enterprise models 2) Platform: building an enterprise-grade platform that empowers organisations to develop and ship creative and performant genAI applications at scale 3) Ecosystem: contributing to open-source models and datasets, as well as leading efforts for large scale data curation in public-good space

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