AI Vision Specialist

2 days ago

belgaum, India beBeeMachine Full time

**Job Title:** AI Vision SpecialistAbout the RoleThe AI Vision Specialist plays a crucial role in deploying and maintaining machine learning models that support our production workflows. This position is primarily applied and production-focused rather than research-oriented.The engineer will integrate third-party and open-source models for image and video generation, enhancement, and quality control into our platform. They 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.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.RequirementsTo succeed in this role, you will need: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.BenefitsWe offer a competitive compensation package, comprehensive benefits, and opportunities for professional growth and development.As an ideal candidate, you 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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