About CynapseCynapse is an awarded AI Software Product company specializing in Enterprise-grade Vision AI in highly challenging environments. cynapses software platform is leveraging cutting-edge cloud/on-premise/edge platforms, advanced computer vision algorithms, advanced ML concepts & models, and more.
The company Headquarter is located in Singapore (one-north Area)
Cynapse is looking for a talented and highly motivated Computer Vision & Machine Learning Developer to join our AI team that delivers a challenging, enterprise-scale Video Content Analytics solutions to global customers. You will conform to high standards of design and coding, working in a cutting-edge, dynamic and professionally challenging environment.
Assist in the development and training of computer vision models using state-of-the-art machine learning techniques.- Work with large datasets for model training.
Collaborate with engineers to implement and fine-tune models, focusing on performance, accuracy, and scalability.
- Contribute to the deployment and monitoring of trained models in production environments, ensuring robustness and reliability.
Participate in the development and maintenance of MLOps pipelines, automating the process of model training, deployment, and monitoring.- Conduct research to explore and implement the latest computer vision and MLOps techniques and technologies.
Maintain and update model pipelines, ensuring they meet project requirements and deadlines.
Bachelors degree in Computer Science, Data Science, Artificial intelligence, Mathematic, Electrical Engineering, or a related field.
- Solid understanding of machine learning concepts, particularly neural networks and their applications in computer vision (e.g., convolutional neural networks, transfer learning, and deep learning architectures).
Proficient in one or more popular machine learning frameworks such as TensorFlow, PyTorch, or similar.- Experienced with computer vision libraries like OpenCV, scikit-image, or equivalent.
Strong programming skills in Python, with expertise in using tools like NumPy, Pandas, and Matplotlib for data manipulation and visualization.
- Knowledge of data preprocessing techniques, including image augmentation, normalization, and resizing.
Basic understanding of MLOps practices, including version control, continuous integration, and continuous deployment (CI/CD).- Strong analytical and problem-solving skills with attention to detail.
Good communication skills, both written and verbal, with the ability to work collaboratively in a team environment.
- Eagerness to learn and adapt to new tools and technologies in the rapidly evolving fields of machine learning, computer vision, and MLOps.
(Optional) Experience with cloud platforms like AWS, GCP, or Azure is a plus.- (Optional) Knowledge of Docker or other containerization tools for model deployment.
(Optional) Familiarity with MLOps tools like MLflow, Kubeflow, or similar is a plus.
Innovative, motivated and a quick learner
- Ability to work well in a small team and take end-to-end ownership of problems and their resolution
Attention to detail, curiosity, and passion for technology
Competitive base salary and a generous stock option package- Unique opportunity to work with a talented global team on cutting edge technologies
informal and exciting work environment with flexible hours
_Due to the nature of the role, the position is considered for candidates that are only based in Singapore_
Job Type: Full-time
Pay: $4,
- 00 - $7,000.00 per month
Benefits: - Health insurance
Schedule:
Supplemental Pay:
Work Location: In person
