AI Model Developer

3 hours ago


salem, India beBeeMachine Full time

Job Description:The Machine Learning Engineer is responsible for deploying and maintaining machine learning models that support production workflows.The role focuses on integrating third-party and open-source models into the platform, fine-tuning them where necessary, and managing inference services.The engineer will collaborate with pipeline engineers and research staff to ensure models perform reliably in real use cases.Key Responsibilities:Integrate third-party and open-source models into the 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 this Role:This is an applied and production-focused role rather than research-oriented.Responsibilities include design, development, deployment, and maintenance of machine learning models.We are looking for someone with hands-on experience in designing and operating inference services.



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