Requirements / Your Skills

• Annotate, build, train, evaluate, and fine-tune machine learning and deep learning models for various use cases.
• Implement data pipelines for preprocessing, augmentation, and transformation of structured and unstructured datasets.
• Perform exploratory data analysis (EDA), feature engineering, and data visualization.
• Work on computer vision and image/video processing tasks using industry-standard frameworks.
• Utilize GPU acceleration (CUDA, cuDNN, TensorRT) for training and optimizing deep learning models.
• Deploy models on-premise and in cloud environments using containerization (Docker) and orchestration (Kubernetes).
• Collaborate in an agile development team, contributing to architecture, experimentation, and testing workflows.