Senior Data Science Manager
2 days ago
**Việc làm chi tiết**:
**Nơi làm việc**:
- Hồ Chí Minh (Quận 3)
**Cấp Bậc**:
- Quản lý
**Hình Thức**:
- Nhân viên chính thức
**Bằng Cấp**:
- Đại học
**Kinh nghiệm**:
- 3 - 5 Năm
**Mức Lương**:
- Cạnh Tranh
**Ngành nghề**:
- CNTT - Phần mềm
**Phòng Ban**:
- IT
**Hạn chót nhận hồ Sơ**:
- 05/03/2025
**Mô tả công việc**:
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:
- Monitor model performance and implement strategies for continuous improvement.
**Yêu cầu công việc**:
**Education**:
- Bachelor’s or higher degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
**Experience**:
- Hands-on experience with large datasets, image processing libraries, and deep learning frameworks.
Technical Skills:
- Strong programming skills in Python; proficiency in frameworks like TensorFlow, PyTorch, or OpenCV.
- Experience with image and video annotation tools.
- Familiarity with cloud platforms and edge deployment.
- Knowledge of MLOps tools and practices for model deployment and monitoring.
- Understanding of algorithm optimization techniques for performance and scalability.
Soft Skills:
- Strong problem-solving skills with the ability to translate business needs into technical solutions.
- Effective communication skills to present complex technical findings to non-technical stakeholders.
- Collaborative mindset and ability to work in interdisciplinary teams.
Preferred Qualifications
- Experience with 3D computer vision, LiDAR data, or point cloud processing.
- Familiarity with advanced architectures like YOLO, Mask R-CNN, Vision Transformers, or CLIP.
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