Senior Data Science Manager

2 weeks ago


Thành phố Hồ Chí Minh, Vietnam GreenFeed Full time

**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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