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