
Visionary Computer Engineer
1 week ago
Job Opportunity:
We are seeking a highly skilled and accomplished computer vision engineer to join our esteemed research team. As a key member, you will be responsible for developing and implementing cutting-edge computer vision algorithms to address complex real-world challenges. You will collaborate with a team of world-class researchers and engineers, driving innovation in areas such as autonomous systems, advanced manufacturing.
This is an exceptional opportunity to contribute to groundbreaking research and translate pioneering technology into practical solutions. You will have the chance to work on intricate projects, design and develop high-quality software, and mentor junior team members. If you are passionate about computer vision and eager to make a meaningful impact, we encourage you to apply.
Key Responsibilities:
- Algorithm Development:
- Design and implement computer vision algorithms using state-of-the-art techniques and frameworks
- Rapidly produce well-organized, optimized, and documented code and frameworks for the team to ramp up
- Perform thorough code reviews and architecture evaluations
- Research and Innovation:
- Conduct in-depth research on computer vision techniques and emerging trends
- Develop and refine innovative algorithms and models to tackle real-world problems
- Collaboration and Leadership:
- Collaborate closely with cross-functional teams to drive project success
- Lead by example and mentor junior team members to grow their skills and expertise
Required Qualifications:
Educational qualification:
BE/MS/M.Tech (Computer Science or related)
Experience:
- 8-10 years of experience in computer vision engineering
- Proven track record of developing and implementing successful computer vision projects
- Expertise in deep learning frameworks such as TensorFlow and PyTorch
- Familiarity with image processing libraries such as OpenCV
Preferred Skills:
- Strong problem-solving and communication skills
- Ability to work independently and collaboratively in a fast-paced environment
- Experience with cloud platforms (AWS, Azure, GCP)
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