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AI Model Deployment Specialist

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Mission Critical Machine Learning EngineerWe are seeking a skilled Machine Learning Engineer to join our team. As a Mission Critical Machine Learning Engineer, you will be responsible for deploying and maintaining machine learning models that support our production workflows.The role is primarily applied and production-focused rather than research-oriented. You will integrate third-party and open-source models into our platform, fine-tune models where necessary, manage inference services, and work with pipeline engineers and research staff to ensure models perform reliably in real use cases.Key Responsibilities:Integrate third-party and open-source models (image/video generation, super-resolution, artifact detection) into our platform.Fine-tune or adapt models for specific needs such as style preservation, character identity, motion and camera control, and cleanup.Design and operate inference services, including model serving, autoscaling, A/B testing, and performance monitoring.Collaborate with pipeline engineers on model selection, parameter choices, and trade-offs between cost and quality.Work with research-oriented staff to convert prototypes into stable, monitored production services.Requirements:5–10+ years of experience in machine learning or computer vision, with strong Python and PyTorch/TensorFlow skills.Proven experience deploying models to production (batch or real-time inference).Experience with diffusion or other generative models, ideally including video or sequence-aware work.Familiarity with Docker/Kubernetes, experiment tracking (e.g., Weights & Biases, MLflow), and ML observability practices.Ability to read and implement methods from research papers at a practical level.About the Role:This is an excellent opportunity for a skilled Machine Learning Engineer to join our team and contribute to the development of our production workflows.