Senior Engineer / Module Lead (DL, Computer Vision, IP) - Work From Office - 5 days a week

AIRA Matrix Pvt. Ltd.

Thane

On-site

INR 900,000 - 1,300,000

Full time

3 days ago
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Job summary

AIRA Matrix Pvt. Ltd.

is seeking a highly skilled professional to design and implement real-time image analysis and classification algorithms for medical images, leveraging state-of-the-art image processing, pattern recognition, computer vision and machine learning techniques. The role involves building solutions for segmentation, detection and quantification of ultra high-resolution pathology images, developing robust ML/DL models, and staying updated with emerging trends to drive publications

Qualifications

  • PhD / M. Tech. / M.E. / M.C.A. (preferably from CSE / IT / ECE / EE background)
  • B. Tech. / B.E. with exceptional academic/professional background
  • Experience with Medical Image Processing is an added advantage
  • Hands-on in Image Processing and Machine Learning algorithms
  • Strong programming knowledge in C, C++, Python, JAVA

Responsibilities

  • Design and develop real-time algorithms for analysis and classification of medical images using image processing, pattern recognition, CV and ML.
  • Develop solutions for segmentation, detection, classification and quantification of high-res pathology images.
  • Design ML/DL models for accurate analysis and classification of high-resolution images.
  • Stay updated on emerging tech and apply it to projects, aiming for publications and patents.
  • Explore expert systems, cognitive computing, AI and computational photography.
  • Provide technical guidance to the team.

Skills

Image processing
Machine learning
Deep learning
Computer vision
Pattern recognition
Medical imaging
GPU parallelism
Programming: C++
Programming: Python
Programming: Java

Education

PhD/M.Tech/M.E./MCA
B.Tech/B.E. with strong background

Job description

AIRA Matrix provides artificial intelligence based solutions for Life Sciences applications. Our solutions improve efficiency, diagnostic accuracy, and turnaround times in pathology, microbiology and ophthalmology workflows across pharmaceutical and healthcare laboratories.

Our Application Development Team plays an important role in developing competent customer facing applications to access our AI solutions and enterprise-level image management systems in life sciences.

It has successfully developed several innovative solutions, such as a one-of-a-kind image viewing platform for histopathology images enabled with digital collaboration, custom web applications with built-in workflows for microbial monitoring, and custom libraries for UI to support unique features and audit traceability across applications among other functionalities.

With absolute flexibility to choose and use the latest technologies, our AppDev team comes up with best-in-class enhancements and feature upgrades which are highly appreciated by the customers.

Job Description:
  • Design and development of robust, efficient and real-time algorithms for Analysis and Classification of Medical Images using state-of-art techniques from Image Processing, Pattern Recognition, Computer Vision and Machine Learning.
  • Development of innovative solutions for various problems related to Segmentation, Detection, classification and quantification of high resolution (~50K x 50K) coloured images for applications in Digital Pathology.
  • Design of efficient models in Machine Learning / Deep Learning for accurate analysis and classification of High resolution Images.
  • To learn and update oneself on the emerging trends of technology and apply them in the projects for better results leading to publications and patents.
  • Explore new areas of Expert Systems, Cognitive Computing, Artificial Intelligence, Computational Photography etc.
  • Guiding the team technically
Candidate Profile:
Academic background:
  • PhD / M. Tech. / M.E. / M.C.A. (preferably from CSE / IT / ECE / EE background)
  • B. Tech. / B.E. with exceptional academic/professional background
Specialization / Domain knowledge:
  • Experience with Medical Image Processing is an added advantage
Technical
  • Hands-on experience in developing and implementing Image Processing and Machine Learning algorithms
  • Strong programming knowledge in any of C, C++, Python, JAVA etc.
  • Hands-on experience in using Deep Learning frameworks and libraries
  • Concepts of parallel architecture on GPU is an added advantage
Key Sills :

--

Regards,

Deputy Manager - Talent Acquisition

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