Sarvam is seeking a Machine Learning Engineer to join their team to build a scalable, AI-powered dubbing platform. The role involves designing, building, and maintaining ML systems, optimizing inference pipelines, and collaborating with cross-functional teams to deliver high-quality features and improve system reliability and performance.
About the role
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
Skills
Machine LearningDeep LearningML systemsPythonPyTorchmodel optimisationDebuggingPerformance TuningGPU based workloadsspeech systemsaudio systemsmultimodal systemslarge scale ML infrastructureCloud PlatformsDistributed SystemsContainersorchestration toolsEvaluation Frameworks