Role overview
- Title: Machine Learning Engineer Dubbing Platform
- Experience: 3 to 6 years
- Location: (Onsite / Hybrid / Remote)
- Compensation: As per industry standards
What you'll work on
- 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.
What we're looking for
- 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.
Tags & focus areas
Used for matching and alerts on DevFound Remote Performance Tuning Automation Product Engineering Machine Learning Debugging Continuous Improvement Operations Distribution System Deep Learning