
Visionary Architect for Advanced Image Analysis
3 days ago
We are seeking a highly skilled and motivated professional to join our prestigious Corporate Research team. As a key member of our team, you will be responsible for researching, developing, and implementing innovative computer vision and machine learning algorithms to solve challenging real-world problems.
Key Responsibilities:
- Design and develop high-quality software applications using state-of-the-art technologies and frameworks.
- Conduct code reviews to ensure high-level software quality.
- Translate requirements into architecture using cutting-edge technologies and open-source frameworks.
- Design and incorporate quality aspects of the architecture/project, including reusability, maintainability, scalability, reliability, extensibility, security, portability, etc.
- Evaluate, define, and evolve/improve software coding standards, tools, and platforms.
- Execute independently at team level all aspects of the Software Engineering Process (requirements, specification, architecture, design, implementation, etc.).
- Debug code independently in large and complex source bases.
Required Skills and Qualifications:
- 8 - 10 years of work experience in computer vision and machine learning.
- Proven track record of developing and implementing innovative algorithms for image and video analysis.
- Experience working in a research environment.
- Hands-on experience with deep learning frameworks such as TensorFlow and PyTorch.
- Experience with image processing libraries such as OpenCV.
- Experience with cloud platforms (AWS, Azure, GCP).
Mandatory Skills:
- Excellent programming skills in Python.
- Expertise on OpenCV, DLib, Numpy.
- Awareness of machine learning concepts, hyperparameters tuning, metrics, and training methods.
- Hands-on working experience with anyone of the deep learning frameworks - TensorFlow, Caffe, Pytorch, Keras, MXNet, Theano.
- Exposure to model compression and pruning in deep learning.
Preferred Skills:
- Familiarity with GPU computing (CUDA, OpenCL), HPC and hands-on experience in local GPU-Linux servers or cloud machine learning service providers like AWS, Azure, etc.
- Strong problem-solving & communication skills.
- Highly motivated, creative, and a team player.
- Responsible for taking ownership of modules/projects and contributing/collaborating with individual contributions.
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