We are hiring at all levels for our AI team to support our pace of growth, ranging from Associate ML Scientists with limited experience to Senior and Principal ML Scientists, as well as ML Engineers.
At Wadhwani AI, we work on AI problems that are unique and built for large-scale social initiatives. Their solutions are expected to impact millions across the developing world. While our current areas of focus are healthcare and agriculture, we are rapidly exploring other domains where AI technology can make a difference to the underserved.
NOW HIRING
We are hiring at all levels for our AI team to support our pace of growth, ranging from Associate ML Scientists with limited experience to Senior and Principal ML Scientists, as well as ML Engineers. These roles are commensurate with experience and will be evaluated on an individual basis.
Our applied modelling work calls for expertise in ML/DL for vision, sound, text, and tabular data, principled approaches to data cleaning and imputation, reinforcement learning, and in building data, inference and evaluation pipelines.
We have a fun, dynamic team that is ready to welcome new talent, and we have a clear, applied focus.
WHAT WE’RE LOOKING FOR
Machine Learning Scientists
An ML Scientist at Wadhwani AI will build scientifically rigorous and robustly evaluated AI solutions that will be deployed in order to bring AI to the benefit of underserved billions across the developing world.
You are a good fit for our AI team if you:
Machine Learning Engineers
An ML Engineer at Wadhwani AI will build rigorously designed and tested ML solutions capable of being deployed to the variety of audiences and domains that are of interest to the institute.
You are a good fit for our AI team if you:
If you don’t quite fit into the roles listed above, but are passionate about working with us in a tech role, please write to us at hr@wadhwaniai.org.
Wadhwani AI is a program of the AI Unit of the Lords Education and Health Society (LEHS)
© 2024 Wadhwani AI
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)
Late PoC
This is early to mid-stage of AI product development
Post PoC
Responsibilities during production deployment
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
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
