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