
Innovative Computer Vision and Machine Learning Expert Wanted
6 days ago
Job Opportunity:
We are seeking a highly skilled and motivated Senior Computer Vision and Machine Learning Engineer to join our prestigious 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.
This is an exceptional opportunity to contribute to impactful research and translate cutting-edge technology into tangible solutions. Our team is pushing the boundaries of what's possible in areas such as autonomous systems and advanced manufacturing.
Key Responsibilities:
- Algorithm Development: Develop and implement innovative computer vision and machine learning algorithms to solve real-world problems.
- Research and Development: Conduct research and development on new technologies and techniques to improve existing algorithms and develop new ones.
- Team Collaboration: Collaborate with cross-functional teams to design, develop, and implement new solutions.
- Mentoring and Leadership: Mentor junior engineers and provide technical leadership to ensure successful project execution.
Requirements:
Educational Qualifications:
BE/MS/M.Tech (Electronics, Computer Science, or related)
Experience:
- 8 - 10 years of work experience
- Proven track record of developing and implementing innovative algorithms for image and video analysis
- Experience working in a research environment
- 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)
Skill Requirements:
- Excellent programming skills in Python
- Exposure to Object Oriented Programming and Design, Data structures / Algorithms
- Expertise on OpenCV, DLib, Numpy
- Excellent knowledge on Computer Vision concepts - Image Classification, Object Detection, and Semantic Segmentation developed using state-of-the-art deep learning algorithms
- Hands-on experience in developing efficient and real-time convolution neural network models
- Awareness of Machine learning concepts, hyperparameters tuning, metrics, and training methods, and able to make benchmarks with other SOTA models
- Hands-on working experience with deep learning frameworks - TensorFlow, Caffe, PyTorch, Keras, MXNet, Theano
PREFERRED SKILL SET:
- 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
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