Job Description
Company Description
Aindra Systems is on a mission to democratize cancer diagnostics through AI-powered computational pathology. Our full-stack platform—combining whole slide imaging scanners, AI algorithms, and cloud telepathology—is transforming how diagnostic centers and hospitals deliver accurate, accessible cancer screening across India. We’re a fast-moving health-tech startup backed by innovation, impact, and a relentless focus on solving real problems in healthcare.
Role Description
This is a full-time, on-site role for an AI & ML Research and Development Engineer with a minimum of 3-4 years of experience and must have worked in the field of using AI in Medical Imaging . The AI & ML Research and Development Engineer will be responsible for development of our AI platform Astra that is used for detection of multiple cancers. They will also be responsible for pattern recognition, software development, neural networks, natural language processing, and computer science.
The Ideal Candidate: We believe that the ideal candidate for this role is someone who has worked in the field of AI in Medical Imaging and is a combination of a:
Machine Learning Guru, with a research bent of mind
A Startup Spirit, who loves great work and is not motivated only by money
Kickass Programmer, who loves to see his code create magic
Problem Solver, who can get his way around problems
Job Description
Developing algorithms for Medical Imaging (digital pathology) applications based on current literature using appropriate AI foundation models and frameworks
Developing proof of concept in your language of preference
Converting these Po C's into high performance applications in C/C++
Capable of developing scalable and high-performance algorithms for deployment
Perform technical root cause analysis and outlining corrective action for given problems using debuggers, log files etc
Required Skills
Expertise in image classification, segmentation, feature extraction and machine learning
Strong understanding of linear algebra, optimisation, probability and statistics
Proficiency in computer science and software development
Experience with pattern recognition, image processing, and neural networks,
Excellent skills developing in C/C++ and Python and experience working in a Linux environment
Experience with deep learning frameworks like Tensor Flow or Py Torch
Experience working with Open CV, Numpy etc
Qualifications
MS/MTech/Ph D with a focus on Machine Learning, Computer Vision and Artificial Intelligence in the domain of Medical Imaging in Pathology
Ability to work independently and collaboratively in a team environment
Strong problem-solving skills and ability to think out-of-the-box
Excellent written and verbal communication skills in English
Experience in the medical imaging domain is mandatory
Must be a quick learner and be willing to work on new programming languages depending on requirement
Must mandatorily have good aptitude skills
Great to have: The ability to communicate technical information clearly and succinctly to both technical and non-technical teams
Aindra Systems is on a mission to democratize cancer diagnostics through AI-powered computational pathology. Our full-stack platform—combining whole slide imaging scanners, AI algorithms, and cloud telepathology—is transforming how diagnostic centers and hospitals deliver accurate, accessible cancer screening across India. We’re a fast-moving health-tech startup backed by innovation, impact, and a relentless focus on solving real problems in healthcare.
Role Description
This is a full-time, on-site role for an AI & ML Research and Development Engineer with a minimum of 3-4 years of experience and must have worked in the field of using AI in Medical Imaging . The AI & ML Research and Development Engineer will be responsible for development of our AI platform Astra that is used for detection of multiple cancers. They will also be responsible for pattern recognition, software development, neural networks, natural language processing, and computer science.
The Ideal Candidate: We believe that the ideal candidate for this role is someone who has worked in the field of AI in Medical Imaging and is a combination of a:
Machine Learning Guru, with a research bent of mind
A Startup Spirit, who loves great work and is not motivated only by money
Kickass Programmer, who loves to see his code create magic
Problem Solver, who can get his way around problems
Job Description
Developing algorithms for Medical Imaging (digital pathology) applications based on current literature using appropriate AI foundation models and frameworks
Developing proof of concept in your language of preference
Converting these Po C's into high performance applications in C/C++
Capable of developing scalable and high-performance algorithms for deployment
Perform technical root cause analysis and outlining corrective action for given problems using debuggers, log files etc
Required Skills
Expertise in image classification, segmentation, feature extraction and machine learning
Strong understanding of linear algebra, optimisation, probability and statistics
Proficiency in computer science and software development
Experience with pattern recognition, image processing, and neural networks,
Excellent skills developing in C/C++ and Python and experience working in a Linux environment
Experience with deep learning frameworks like Tensor Flow or Py Torch
Experience working with Open CV, Numpy etc
Qualifications
MS/MTech/Ph D with a focus on Machine Learning, Computer Vision and Artificial Intelligence in the domain of Medical Imaging in Pathology
Ability to work independently and collaboratively in a team environment
Strong problem-solving skills and ability to think out-of-the-box
Excellent written and verbal communication skills in English
Experience in the medical imaging domain is mandatory
Must be a quick learner and be willing to work on new programming languages depending on requirement
Must mandatorily have good aptitude skills
Great to have: The ability to communicate technical information clearly and succinctly to both technical and non-technical teams
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