We are an Artificial Intelligence (AI) Healthcare company focused on improving quality of diagnosis and care across areas of life sciences.
SOMEONE IS GOING BLIND
% OF ALL BLINDNESS IS AVOIDABLE
OPHTHALMOLOGIST's WORLDWIDE
MILLION + POPULATION AT RISK
Netra.AI – A Comprehensive Ophthalmology Platform
Netra.AI uses cutting edge Algorithms with a 4 step Deep Convolution Neural Network (DCNN). Algorithm is developed in guidance with some of the leading experts in Retina globally. Netra.AI enables automated and point of care Retinal Image Analysis.
- Reduce incidence of blindness by timely identification of patients at risk
- Offer insights to medical practitioners thus enabling improved diagnostic outcome
Netra Screen
Netra Screen is designed to transform Retinal Screening (in individual outpatient settings or mass screening platforms) with a scalable, low cost, fast and accurate automated risk profiling powered by Artificial Intelligence!
Accessed through cloud-based web portal or direct integration with the Fundus camera application, Netra Screen analyses fundus photographs within minutes for Diabetic Retinopathy, Diabetic Macular Edema, Glaucoma*, AMD* and a host of other retinal conditions*
Image Quality: With real-time image quality assessment, Netra Screen can virtually eliminate loss arising out of poor images
Lesion annotation: Netra Screen provides a great patient education tool along with insights to users
Advanced tools: Blood vessel segmentation and image post processing empower users and specialists with greater insights to make fast and accurate diagnosis
An optional triage by trained specialists is also available to review referable cases through Netra Tele platform.
Netra Track
Netra Track enables doctors and patients to manage and view retinal changes over time.
Netra Track maintains records of retinal images and automatically detects and highlights changes upon every followup visit, enabling better visualization and control over disease progression.
Netra API
The solution is targeted at device manufacturers, EMR companies, HIS companies. Netra API seamlessly integrate with existing health care systems and devices and automate the grading process.
Target Customers
1) Software Solution Provider – Electronic Health Records, Electronic Medical Record, PACS provider for Hospital and clinics , Tele medicine Software Providers.
2) OEM – Retina Camera Manufacturers
Value Proposition
1) Product Value Enhancement – White Label
2) Smart Devices
3) Reduced specialist load
Value Proposition
About Us
About Us
Our Vision
Our mission is to develop artificial intelligence products and solutions that improve access and quality of diagnosis across areas of life sciences.
Our vision is to be recognized as an innovative technology company with strong research orientation & focus on solving real world problems that have large social and economic impact.
Team
Careers
We are looking for talented, dynamic individuals who want to join us in this exciting journey in developing path breaking AI Platforms. We are amplifying the use of deep machine learning to solve healthcare problems in Ophthalmology. Our company culture values talented team members, rewards innovation, and celebrates success.
Please send your resume and a self introduction to hr@leben.ai
We are assembling a world-class AI RnD team to enhance our Netra.AI platform enabling next generation of medical imaging diagnostic for Ophthalmology.
Desired qualifications
Master’s Degree or PhD – Computer Science, Artificial Intelligence.
Minimum Requirements
Hands on Experience in implementing deep learning architectures using latest machine learning tech and frameworks.
Existing track record as a researcher in machine learning with published scientific journal.
Responsibilities
Design and build novel machine learning models to solve unique medical problems and improve patient outcomes.
Test and evaluate algorithms on large medical datasets to prove robustness
Deliver high quality and production-ready code
Desirable Skills
Solid Python and C++ experience and Linux user.
Solid mathematical background.
Experience with a vast set of computer vision libraries.
Deep understanding and hands-on experience in state-of-the-art Medical Image Analysis algorithms will be a plus.
What we offer for your valuable work:
Employee Stock Option Plan
Location
Hyderabad
How to Apply
Please send a cover letter and resume to hr@leben.ai. Please put “Principal Machine Learning Engineer” in the subject line.
Desired qualifications
Bachelor’s Degree in Engineering, Science, or health-related field
Minimum Requirements
Working knowledge of CE,FDA and other regulatory authorities
FDA Regulatory submission experience (510ks, PMAs, IDEs)
Quality Systems development, implementation, and training experience
Experience with ISO 13485, FDA, MDD (EU Medical Device Directive)compliance requirements.
Experience with FDA remediation, Warning Letters, 483 Observations, and Recalls a plus
Must be able to work independently and have ability to work with cross-functional teams
Responsibilities
Develop and maintain submissions to regulatory agencies required to allow Leben products to be sold in all regions and markets. (FDA, CE)
Develop and maintain the Leben QMS and supporting procedures to adhere for ISO 13485, as well as FDA , European (CE Mark)requirements
Manage QA and QC team and ensuring their adherence to producing a quality product.
Develop product documentation for regulatory submissions.
Desirable Skills
Sound understanding of Quality Assurance methods.
Proficient in the Microsoft family of products.
Familiarity with defect tracking software packages.
Location
Hyderabad
How to Apply
Please send a cover letter and resume to hr@leben.ai. Please put “Quality Assurance and Regulatory Manager” in the subject line.
The ideal candidate should be detail oriented,proactive, excellent verbal and written communication skills, ability to multi task , preventive approach to problem solving and work independently.
Desired qualifications
Bachelor or Master Degree in Computer Science or similar
Minimum Requirements
Operational support experience and available 24×7 on-call for service incidents
Experience in Systems troubleshooting and root cause analysis
DevOps and deployment pipeline
Software development and automation experience
Experience in operating and troubleshooting AWS/Google Cloud environments
Application development in an Agile(Scrum) environment
AWS and/or Google Cloud certifications
Responsibilities
Identify and develop opportunities to improve our processes and tools specifically for Automation.
Perform smoke/sanity tests for the applications deployed and also troubleshoot the application.
Learn the architecture of all the applications to help trouble shoot.
Periodically analyze the hardware and software capacities of build infrastructure and provide appropriate recommendation.
Write and review code,documentation ,capacity plans, and identify root cause.
Desirable Skills
Experience with Script automation – Ant, Maven, nAnt, Shell, Perl, Chef, Ansible – Source Repo – Subversion, GIT/Stash and Bitbucket administration and deployment skills – Web Server – nginx , Apache – Productive Tools – Bamboo, Jira, and Confluence – Database – mySQL, Mongo,Redis
Location
Hyderabad
How to Apply
Please send a cover letter and resume to hr@leben.ai. Please put “DevOps Systems Engineer” in the subject line.
The ideal candidate should have strong background in software architecture, requirement analysis, and experiences working with back-end and front-end tech stacks.
Desired qualifications
Bachelor or Master Degree in Computer Science or similar
Minimum Requirements
5+ years of full-stack software development experience. Experience with React/Redux or similar JS frameworks.
Responsibilities
Build and maintain AI Platform and scalable Web services with JavaScript/Node.js.
Working with a variety of tech stacks and third-party APIs.
Collaborate with product and tech team.
Work in an Agile-like, iterative development process.
Conduct code reviews to ensure compliance with quality standards.
Design and implement elegant and scalable software systems.
Desirable Skills
Database: SQL and NoSQL
Version control and effective collaborative development tools.
Quickly fix bugs and solve problems in large, complex apps.
Containerization using Docker and Container orchestration using Kubernetes
Distributed, high-volume web applications
Location
Hyderabad
How to Apply
Please send a cover letter and resume to hr@leben.ai. Please put “Full Stack Engineer” in the subject line.
Leben Care is offering 3/ 6/ 9 month internships in the areas of deep machine learning and computer vision . The internships will require novel research as well as development for solving challenging problems . We are seeking qualified and highly motivated graduate students (Masters, PhD) interested in working on these problems.
The interns will have an opportunity to work on large public domain datasets; publish in top-tier conferences such as CVPR, ICCV, ECCV, NIPS, ICML and SIGGRAPH; work with business-proprietary use cases and datasets leading to inventions and patents.
Qualifications/ Experience
- A BS/ MS degree in Computer Science, Electrical Engineering or related field.
- Hands-on experience in machine learning / computer vision . Prior publication record in relevant top-tier conferences/ journals highly desirable.
Technical Skills
- Proficiency in C, C++, Python. Experience using OpenCV, Caffe, Theano / Torch.
- Experience on application development in Linux/ Windows desirable.
General Skills
- Excellent communication, problem-solving and analytical skills, ability to learn quickly.
- A strong passion for empirical research and for answering hard questions with data.
- Ability to work both autonomously and in a team.
Number of Positions
2
Location
Hyderabad, India
How to Apply
Please send a cover letter and resume to hr@leben.ai. Please put “Machine Learning Intern” in the subject line.
Partners and Collaborators
Please reach out if you’re interested in implementing Leben Care Technology Platforms, contributing anonymized data or clinical insights to our research, or working with us to develop groundbreaking products.
Certification
Contact Us
*Disclaimer: The NETRA.AI Platform and Solutions described in these pages are for investigation use only and are not available for clinical use. The product has not been reviewed by the Food and Drug Administration or any other regulatory body. Additional review may be necessary before a product can be offered commercially. Leben Care is evaluating the regulatory requirements for its products in development.