Deep Learning Specialist

2 weeks ago

mount, India beBeeMachine Full time

Job TitleA Machine Learning Engineer is a critical role in deploying and maintaining machine learning models that support production workflows.This position focuses on integrating third-party and open-source models for image and video generation, enhancement, and quality control into the platform.The engineer will 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.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.Ideal candidates come from applied CV/ML product teams or ML platform/MLOps environments, working in machine learning engineer, computer vision engineer, applied scientist, or senior data scientist focused on ML-heavy, GPU-driven systems.

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