机器学习科学家助理
Associate Machine Learning Scientist
简介
在Wadhwani AI担任初级机器学习（ML）科学家，将构建科学严谨且经过严格评估的AI解决方案，并将其部署以使发展中国家数以十亿计的弱势群体受益。该职位适合具备扎实机器学习基础且至少有2年相关经验的人选，包括在语音处理或语音识别方面的实际操作技能。
关于我们
Wadhwani AI是一家非营利性机构，致力于开发和部署应用AI解决方案，以解决全球南方弱势社区在公共卫生、农业、教育和城市发展中的关键问题。我们与政府、社会部门组织、学术和研究机构以及领域专家合作，识别现实世界的问题，并开发实用的AI解决方案来应对这些问题，旨在产生显著的积极影响。
我们有30多个由比尔及梅琳达·盖茨基金会、美国国际开发署（USAID）和Google.org等领先慈善机构支持的AI项目。我们的团队超过200名专业人员，专业知识涵盖AI/ML研究与创新、软件工程、领域知识、设计和用户研究。
媒体报道：
- 我们的创始人捐赠者位列全球Top 100 AI影响力人物
- G20印度主席国：AI医疗、农业和教育解决方案在全球展示
- 解锁AI在公共卫生中的潜力
- Wadhwani AI采用以影响为先的方法应用人工智能 - data.org
- 2022年H&M基金会全球变革奖得主
- 2019年谷歌AI影响力挑战赛印度获奖者，也是亚太地区首个接待谷歌学者的机构
Wadhwani AI文化页面
职位与职责
- 将社会领域问题转化为明确的机器学习问题
- 设计和实现机器学习模型和解决方案
- 收集、整理、预处理和转换数据用于建模
- 训练、验证和评估机器学习模型
- 支持在真实环境中的可扩展ML解决方案部署
- 定义并跟踪指标以衡量模型性能和影响
- 与跨职能团队合作，包括工程师和领域专家
- 与社会领域合作伙伴互动，收集背景和领域洞察
- 记录模型、流程和关键经验
- 为团队知识共享和持续改进做出贡献
要求
- 本科或硕士学位，专业为量化学科（如计算机科学、统计学、数学、物理或相关领域）
查看英文原文
SUMMARY
An Associate Machine Learning (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.The role is ideal for someone with a strong foundation in machine learning and at least 2 years of experience, including hands-on expertise in speech processing or speech recognition.
ABOUT US -
Wadhwani AI is a nonprofit institute building and deploying applied AI solutions to solve critical issues in public health, agriculture, education, and urban development in underserved communities in the global south. We collaborate with governments, social sector organizations, academic and research institutions, and domain experts to identify real-world problems, and develop practical AI solutions to tackle these issues with the aim of making a substantial positive impact.
We have over 30+ AI projects supported by leading philanthropies such as Bill & Melinda Gates Foundation, USAID and Google.org. With a team of over 200 professionals, our expertise encompasses AI/ML research and innovation, software engineering, domain knowledge, design and user research.
In the Press:
- Our Founder Donors are among the Top 100 AI Influencers
- G20 India’s Presidency: AI Healthcare, Agriculture, & Education Solutions Showcased Globally.
- Unlocking the potentials of AI in Public Health
- Wadhwani AI Takes an Impact-First Approach to Applying Artificial Intelligence - data.org
- Winner of the H&M Foundation Global Change Award 2022
- Indian Winners of the 2019 Google AI Impact Challenge, and the first in the Asia Pacific to host Google Fellows
Cultures page of Wadhwani AI -
ROLES AND RESPONSIBILITIES
- Translate social sector problems into well-defined machine learning problems
- Design and implement machine learning models and solutions
- Collect, curate, preprocess, and transform data for modeling
- Train, validate, and evaluate machine learning models
- Support the deployment of scalable ML solutions in real-world environments
- Define and track metrics to measure model performance and impact
- Collaborate with cross-functional teams including engineers and domain experts
- Interact with social sector partners to gather contextual and domain insights
- Document models, processes, and key learnings
- Contribute to team knowledge sharing and continuous improvement
REQUIREMENTS
- Bachelor’s or Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering, etc.)
- Hands-on experience with applied machine learning projects
- Proficiency in programming and scripting languages (e.g., Python, R)
- Strong skills in data mining, data cleaning, and exploratory data analysis
- Experience in building, training, and implementing ML or statistical models
- Ability to adapt ML solutions to the constraints of real-world, large-scale deployments
- Strong communication and collaboration skills
- Enthusiasm for working on socially impactful projects and learning in dynamic environments
We are committed to promoting diversity and the principle of equal employment opportunity for all our employees and encourage qualified candidates to apply irrespective of religion or belief, ethnic or social background, gender, gender identity, and disability. If you have any questions, please email us at .
Originally posted on Himalayas