Computer Vision Engineer

1 month ago

Greater Bengaluru Area, India Valiance Solutions Full time

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 looking for a motivated and talented Computer Vision Engineer to join our dynamic team. As a Computer Vision Engineer, you will play a crucial role in developing and implementing innovative computer vision solutions for our customers. Your work will also contribute to advancing our products and services in diverse industries such as manufacturing, industrial vision, and automotive applications.


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.


Skills:

  • 4+ years of experience computer vision, machine vision, and robotics.
  • Proficiency in Python, C++, or other relevant programming languages.
  • Familiarity with libraries Opencv, 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.
  • Familiarity with MLOps is desired.
  • Should be able to do stakeholder management as well
  • Excellent communication skills for effective collaboration with cross-functional teams and presenting complex technical concepts


Qualifications:

  • Bachelor's, Master's, or Ph.D. in Computer Science, Electrical Engineering, or a related field

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