Position Overview
We are seeking a highly skilled and innovative Senior Manager/ Manager Data Science with expertise in Computer Vision to join our team. The ideal candidate will work on developing and deploying cutting-edge algorithms and machine learning models to analyze visual data and solve complex challenges. Your role will involve applying deep learning, image processing, and computer vision techniques to contribute to the organizations key projects in industries like manufacturing and agriculture (AI-driven solutions for Livestock Management).
Key Responsibilities
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.
Qualifications
Education:
- Bachelors or higher degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Experience:
- Proven experience (3-5+ years) in applying computer vision techniques in real-world projects.
- 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.
- Knowledge of generative AI models and their applications in computer vision.
- Experience with AR/VR applications or simulations.
