Machine Learning Engineer — Sarvam Studio

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 help improve system reliability, performance, and production readiness through data-driven methods and automation.

Responsibilities

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

• Develop automated validation and monitoring mechanisms to ensure consistent system behavior.

• Optimize 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.

Requirements (Must-have)

• Strong foundation in machine learning and deep learning.

• Experience deploying ML systems in production environments.

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

• Good understanding of model optimization, debugging, and performance tuning.

• Experience working with GPU-based workloads.

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

Preferred Qualifications (Bonus)

• Experience working on 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.

What success looks like

• Improved stability and performance of the dubbing platform.

• Reliable monitoring and validation systems in production.

• Faster iteration cycles with measurable improvements.

• Reduced operational overhead through automation.

Role details

• Title: Machine Learning Engineer — Dubbing Platform

• Experience: 3 to 6 years

• Location: (Onsite / Hybrid / Remote)

• Compensation: As per industry standards