Competing in the $5M IBM Watson AI XPRIZE

Wadhwani AI is the first and only official competitor from India and Asia among the 34 official competitors from around the world that are vying for the $5M prize purse.
The AI-based application that we at Wadhwani AI are developing is a smartphone-based anthropometry tool that will help health workers screen low birth weight newborns without any specialised equipment or physical examinations.

We are thrilled to announce our official entry into the IBM Watson AI XPRIZE, a global competition challenging teams to develop powerful Artificial Intelligence (AI)-based applications and demonstrate how humans can collaborate with AIs to tackle the world’s greatest challenges. The AI-based application that we at Wadhwani AI are developing is a smartphone-based anthropometry tool that will help health workers screen low birth weight newborns without any specialised equipment or physical examinations.

Wadhwani AI is the first and only official competitor from India and Asia, and the only team from the developing world among the 34 official competitors from around the world that are vying for the $5M prize purse.

Dr. Rahul Panicker, Chief Innovation Officer, Wadhwani AI, shares that, “The first month of life has a disproportionate impact on the lifelong health of a baby. UNICEF estimates that nearly half the world’s 20 million low-birth-weight babies are not weighed at birth. In the absence of proper care, we’re losing too many of these babies. We are building an AI-powered virtual weighing machine that will allow health workers to estimate a newborn’s weight, head circumference, and length using only a short video taken on a generic smartphone, without network connectivity or additional hardware.

Dr. P. Anandan, CEO, Wadhwani AI, stated, “Our smartphone-based anthropometry solution uses cutting-edge techniques in AI and computer vision. What excites us the most is that this solution will help the most vulnerable members of our society – newborn babies – get the medical care they deserve and need.

XPRIZE, a 501(c)(3) nonprofit, is the global leader in designing and implementing innovative competition models to solve the world’s grandest challenges. Active competitions include the Lunar XPRIZE, the $20M NRG COSIA Carbon XPRIZE, the $15M Global Learning XPRIZE, the $10M ANA Avatar XPRIZE, the $7M Shell Ocean Discovery XPRIZE, and the $5M IBM Watson AI XPRIZE.

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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.
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