About National Entrepreneurship Network
The National Entrepreneurship Network is an independent organization developing AI-based solutions for social good. We are supported by reputed global institutions such as the Bill and Melinda Gates Foundation, Google, and USAID. We work closely with central and state governments in India to collaborate on solutions in the domains of healthcare and agriculture.
About the RFP
This request for proposal (RFP) is inviting a qualified, reputable, and experienced company (“Firm”) to provide travel management services for the Artificial Intelligence Unit of NEN-AI (“NEN-AI”). This document provides the details of the assignment and expected deliverables.
The terms outlined in this RFP shall form part of the contract should the NEN-AI accept a proposal. NEN-AI may, at its discretion, cancel the requirement in part or whole. It also reserves the right to accept or reject any proposal, annul the selection process, or reject all proposals at any time before selection without incurring any liability to Tenderers.
For more details, please click on the button below to download the complete version of the RFP.
Interested agencies are required to mail their bids as separate attachments by 14 December 2022, 11.59pm, to firstname.lastname@example.org.
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)
This is early to mid-stage of AI product development
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.
Master’s degree or above in a STEM field. Several years of experience getting their hands dirty applying their craft.
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.
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.