UNION CATB APK – Privacy Policy

Privacy Policy

 

This Privacy Policy outlines how the Swasthya Nagaram application collects, uses, stores, shares, and protects personal health data. The App supports population focused TB Screening service based projects in India. The application is built to be used by service delivery  personnel engaged under such projects. The Application ownership is jointly and severally vested with The International Union Against Tuberculosis and Lung Diseases and Artificial Intelligence unit of Lords Education and Health Society (LEHS) under their brand name ‘Wadhwani AI’ (hereinafter referred to as ‘The Organization’, ‘we’ or ‘us’). This Application is operated and managed by LEHS.

This policy includes what information we collect from users of our Application (a “user”, “you”, or “your”), including information that may be used to personally identify you (“Personal Information”) and how we use it. We encourage you to read the details below. By using the application you expressly agree to have read, understood and consent to be bound by this Privacy Policy. We will be the controller of your personal data provided to, or collected for, or processed in connection with our services.


  • This policy applies to (users):  

The Swasthya Nagaram application is intended for use as part of a public health initiative focused on individuals aged 18 years and above who are being screened for Tuberculosis (TB) under the project. The information collected through the application is used solely for public health purposes and is handled in accordance with applicable data protection and ethical standards.

  1. Community Members:  Individuals whose health data is collected through the App.  
  2. Volunteers: Trained users authorized to input data.  
  3. Healthcare Providers: Facilities and staff linked to the National TB Elimination Programme (NTEP).
  • Compliance: This application adheres to India’s Personal Data Protection Act (PDPA), IT Act, and NTEP guidelines.


  • Information We Collect : The App collects data in two categories: 
    1. Information of users of the app: Demographics and contact information:
      1. Name
      2. Age
      3. Gender
      4. Phone Number
      5. Residential Address
    2. Information of people accessing TB screening services under the project after consent: Personal information 
      1. Name
      2. Age
      3. Gender
      4. Phone Number
      5. Residential Address

Demographics, TB related Health Information, cough sounds, TB screening services and linkage to public health services.


  • How We Use Information Collected:
    1. Care Coordination:  The information will be used to co-ordinate TB Screening and testing services such as Chest radiography, Sample collection and transportation, Molecular testing etc for people being provisioned these services under the project. 
    2. The information will be used to develop Ai models that can predict the probability of the screened individual being suffering from Tuberculosis.
    3. Follow-Up and Continuity of Care: The information will support follow-up efforts for diagnostic confirmation and ensure timely initiation of appropriate TB treatment.
    4. Data Sharing: The information collected from/ by you shall be stored on the cloud and only be shared 
      1. For the purposes of obtaining third party services such as Ai Xray CAD in anonymised form.
      2. with government health departments for accessing public health services. 
      3. in anonymized or aggregated datasets to generate reports, heat maps, and other statistical visualizations for the management of Tuberculosis in the country or to provide you general notifications about Tuberculosis as may be required. 

The information collected will not be used for any purpose other than those mentioned in point 1,2 and 3.

  • RETENTION
      1. All personal information collected will be retained  for such a period after that as is required for such interventions to be completed.
      2. All personal information collected under will be retained on the mobile device for an indefinite period from the date of collection, after which, if it has not already been uploaded to the cloud, will be purged from the Application. All information collected and uploaded to the cloud will, to the extent that such information relates to people who have not tested positive for Tuberculosis, will be purged from the cloud after an indefinite period after being uploaded. All information collected of persons who have tested positive for Tuberculosis will be purged from the cloud after an indefinite period of such persons have been declared cured of Tuberculosis.
      3. Nothing set out herein shall apply to the anonymized, aggregated datasets generated by the personal data of registered users of the Application or any reports, heat maps, or other visualization created using such datasets. Nothing herein shall apply to medical reports, diagnoses, or other medical information generated by medical professionals during treatment.
  • Rights of the user:  Users and individuals whose data is collected through the Swasthya Nagaram application have the right to be informed about the data being collected, to give or withhold consent, to access and correct their information, and to expect that their data will be stored securely. Users may also withdraw consent or raise concerns about misuse or breaches through the appropriate program channels  by sending an email to: coughagainsttb@wadhwaniai.org
  • Data Security: We treat data as an asset that must be protected against loss and unauthorized access. We employ many different security techniques to protect such data from unauthorized access by members inside and outside the Firm. We follow generally accepted industry standards to protect the Personal Information submitted to us and information that we have accessed. The Application is equipped with standard security features to protect the confidentiality and security of your information. Data is encrypted in transit as well as at rest. Personal information provided during registration is encrypted before being uploaded to the cloud, stored in a secure encrypted cloud. Personal information stored in the Applications of other registered users you come in contact with is securely encrypted and incapable of being accessed by such users. The Personal Data shall be collected, stored, and disposed of per the international Standard IS/ISO/IEC 27001. The Personal Data shall be disposed of once the purpose is achieved in the manner as is legally permissible.
  • DISCLOSURES AND TRANSFER: As a matter of policy, we do not sell or rent any personally identifiable information to any third party. We cooperate with law enforcement inquiries, as well as other third parties to enforce laws, such as intellectual property rights, fraud and other rights.
  • GRIEVANCES: If you have any concerns or questions in relation to this Privacy Policy, you may address them by sending an email to: coughagainsttb@wadhwaniai.org
  • SEVERABILITY Each clause of this Policy shall be and remain separate from and independent of and severable from all and any other clauses herein except where otherwise expressly indicated or indicated by the context of the Policy. The decision or declaration that one or more of the clauses are null and void shall not affect the remaining clauses of this Policy.
  • CHANGES TO THIS POLICY: We may occasionally update this Policy to keep abreast with new technologies, regulatory requirements, and new practices, among other reasons, per the Applicable Law. We shall ensure the updated /revised Policy is displayed on the Application with the date. Any changes to this Policy will become effective upon posting the revised Policy on this page. Your continued use of the Application following such revision constitutes your acceptance of the revised Policy. 

 

ML Engineer

ROLES AND RESPONSIBILITIES

An ML Engineer at Wadhwani AI will be responsible for building robust machine learning solutions to problems of societal importance; usually under the guidance of senior ML scientists, and in collaboration with dedicated software engineers. To our partners, a Wadhwani AI solution is generally a decision making tool that requires some piece of data to engage. It will be your responsibility to ensure that the information provided using that piece of data is sound. This not only requires robust learned models, but pipelines over which those models can be built, tweaked, tested, and monitored. The following subsections provide details from the perspective of solution design:

Early stage of proof of concept (PoC)

  • Setup and structure code bases that support an interactive ML experimentation process, as well as quick initial deployments
  • Develop and maintain toolsets and processes for ensuring the reproducibility of results
  • Code reviews with other technical team members at various stages of the PoC
  • Develop, extend, adopt a reliable, colab-like environment for ML

Late PoC

This is early to mid-stage of AI product development

  • Develop ETL pipelines. These can also be shared and/or owned by data engineers
  • Setup and maintain feature stores, databases, and data catalogs. Ensuring data veracity and lineage of on-demand pulls
  • Develop and support model health metrics

Post PoC

Responsibilities during production deployment

  • Develop and support A/B testing. Setup continuous integration and development (CI/CD) processes and pipelines for models
  • Develop and support continuous model monitoring
  • Define and publish service-level agreements (SLAs) for model serving. Such agreements include model latency, throughput, and reliability
  • L1/L2/L3 support for model debugging
  • Develop and support model serving environments
  • Model compression and distillation

We realize this list is broad and extensive. While the ideal candidate has some exposure to each of these topics, we also envision great candidates being experts at some subset. If either of those cases happens to be you, please apply.

DESIRED QUALIFICATIONS

Master’s degree or above in a STEM field. Several years of experience getting their hands dirty applying their craft.

Programming

  • Expert level Python programmer
  • Hands-on experience with Python libraries
    • Popular neural network libraries
    • Popular data science libraries (Pandas, numpy)
  • Knowledge of systems-level programming. Under the hood knowledge of C or C++
  • Experience and knowledge of various tools that fit into the model building pipeline. There are several – you should be able to speak to the pluses and minuses of a variety of tools given some challenge within the ML development pipeline
  • Database concepts; SQL
  • Experience with cloud platforms is a plus
mle

ML Scientist

ROLES AND RESPONSIBILITIES

As an ML Scientist at Wadhwani AI, you will be responsible for building robust machine learning solutions to problems of societal importance, usually under the guidance of senior ML scientists. You will participate in translating a problem in the social sector to a well-defined AI problem, in the development and execution of algorithms and solutions to the problem, in the successful and scaled deployment of the AI solution, and in defining appropriate metrics to evaluate the effectiveness of the deployed solution.

In order to apply machine learning for social good, you will need to understand user challenges and their context, curate and transform data, train and validate models, run simulations, and broadly derive insights from data. In doing so, you will work in cross-functional teams spanning ML modeling, engineering, product, and domain experts. You will also interface with social sector organizations as appropriate.  

REQUIREMENTS

Associate ML scientists will have a strong academic background in a quantitative field (see below) at the Bachelor’s or Master’s level, with project experience in applied machine learning. They will possess demonstrable skills in coding, data mining and analysis, and building and implementing ML or statistical models. Where needed, they will have to learn and adapt to the requirements imposed by real-life, scaled deployments. 

Candidates should have excellent communication skills and a willingness to adapt to the challenges of doing applied work for social good. 

DESIRED QUALIFICATIONS

  • B.Tech./B.E./B.S./M.Tech./M.E./M.S./M.Sc. or equivalent in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, Economics, or a relevant quantitative field. Work experience beyond the terminal degree will determine the appropriate seniority level.
  • Solid software engineering skills across one or multiple languages including Python, C++, Java.
  • Interest in applying software engineering practices to ML projects.
  • Track record of project work in applied machine learning. Experience in applying AI models to concrete real-world problems is a plus.
  • Strong verbal and written communication skills in English.
mls