Rashtriya Bal Puraskar 2024: How AI is bringing India’s young achievers to the fore

Every year, the Pradhan Mantri Rashtriya Bal Puraskar (PMRBP) seeks to honor young Indians who achieve extraordinary milestones in fields ranging from innovation to sports. Yet, for many deserving children, particularly in underserved and remote communities, the path to recognition remains elusive. Lack of awareness, connectivity, or access often means their achievements are not sufficiently highlighted.

What is PMRBP?

The PMRBP is India’s highest civilian honor for young citizens aged 5 to 18. It recognizes accomplishments in domains such as bravery, art and culture, science and technology, and environmental conservation. The award is application-based, ensuring that young achievers from all walks of life can be considered.

Turning Data Into Impact

In 2023, Wadhwani AI deployed a web-crawling system to identify children who could potentially be eligible for PMRBP. The next year, we introduced an AI-powered pipeline that automated the search for young talent and streamlined candidate identification. This led to the analysis of over 40 million news articles, curating a list of 4,800 children with exceptional achievements. The Ministry of Women and Child Development (WCD) subsequently contacted these potential candidates, providing support for application submissions.

The results were profound. Over 500 children applied for the award, and over 50 of them advanced to the final selection stage. Among the 17 children ultimately honored with the PMRBP in 2024, four were identified by the AI-enabled pipeline. 

The incredible stories of the awardees emphasize the power of this initiative. A young weightlifter from Odisha, a nine-year-old mountaineering prodigy from Punjab, a  teenage artistic skater from Andhra Pradesh, and a Sufi prodigy from Kashmir were the prodigies identified by AI. These children—diverse in geography and talent—are emblematic of India’s potential when opportunity meets access.

A Model for Inclusive Impact

The PMRBP effort is a testament to how technology, when applied thoughtfully, can dismantle barriers and amplify human potential. It’s a case study of what happens when systems are redesigned to be more inclusive, reaching those who need them most.

As India celebrates the achievements of its young heroes, including those identified through this initiative, the effort serves as a reminder of the power of partnerships between innovation and empathy. Recognition, after all, should not be a privilege—it should be a possibility for every child with a story worth telling.

  • Tanushree Dutta

    Tanushree is a communications professional with a background in advertising, specializing in digital strategy. She has expertly crafted content and design interventions for some of India’s most influential tech brands, merging her proficiency with her passion for communication with a purpose.

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
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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.
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