Computer Vision Engineer
3 months ago
About Us :
Valiance is a global AI & Data analytics firm helping clients build cutting-edge technology solutions for digital transformation. We work with some of the marquee brands across India, US and APAC to build transformative solutions for Credit Risk, Fraud, Predictive Maintenance, Quality Inspection, Data lake, IOT analytics etc.
Our team comprises 120+ professionals across Machine Learning, Data Engineering & Cloud expertise
We are seeking a talented and experienced Computer Vision Engineer to join our team.
Job Description :
We are looking for a motivated and talented Computer Vision Engineer to join our dynamic team. As a Junior Computer Vision Engineer, you will play a crucial role in developing and implementing innovative computer vision solutions. Your work will contribute to advancing our products and services in diverse industries such as robotics, industrial vision, and automotive applications.
Skills :
- Proficiency in Python, C++, or other relevant programming languages.
- Familiarity with Point Clouds and 3D geometry.
- Familiarity with libraries Opencv, Halcon, PIL, ROS, Numpy, Scipy, TensorFlow/PyTorch.
- Familiarity with version control tools (Git).
- Experience with GPU programming and optimization for accelerated processing is a plus.
- Strong problem-solving skills and adaptability to new challenges and technologies.
- Excellent communication skills for effective collaboration with cross-functional teams and presenting
complex technical concepts
Responsibilities :
- Develop cutting-edge algorithms to enhance image quality in challenging conditions, including low-light environments, noisy sensors, and adverse weather.
- Select and implement deep learning and machine learning models for various computer vision tasks, with a focus on object detection, stereo geometry, and 3D reconstruction.
- Train and fine-tune models using extensive datasets, evaluating their performance against relevant
metrics.
- Preprocess and augment raw image and video data to improve model quality and robustness.
- Document codes, algorithms, and conduct unit testing to maintain a high standard of code quality.
- Work closely with cross-functional teams, including software engineers, data scientists, and domain
experts, to understand requirements and deliver effective solutions.
Qualifications :
- Bachelor's, Master's, or Ph.D. in Computer Science, Electrical Engineering, or a related field.
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