Machine Learning Engineer

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