Senior Data Science Manager

Develop Computer Vision Algorithms:

• Design, train, and optimize deep learning models for tasks such as object detection, segmentation, image classification, and pose estimation.
• Implement and refine image processing techniques for feature extraction, noise reduction, and data augmentation.

Build Scalable Models:

• Develop scalable and efficient pipelines for real-time video and image data processing.
• Collaborate with engineering teams to integrate vision models into production systems.

Data Analysis and Management:

• Collect, preprocess, and analyze large-scale datasets, including labeled and unlabeled visual data.
• Leverage techniques like supervised, unsupervised, and self-supervised learning.

Research and Innovation:

• Stay updated on the latest advancements in computer vision, deep learning, and AI.
• Experiment with state-of-the-art architectures like Transformers, GANs, or Diffusion Models to enhance model performance.

Collaborate Across Teams:

• Work closely with cross-functional teams, including data engineers, software developers, and domain experts, to understand business problems and deliver solutions.
• Present findings and insights to stakeholders using clear visualizations and reports.

Deploy and Monitor Models:

• Deploy models on cloud platforms or edge devices for real-time applications.
• Monitor model performance and implement strategies for continuous improvement.