助理机器学习科学家 - I
Associate ML Scientist - I
这是一个远程职位。
我们正在寻找一位高级机器学习科学家，具备扎实的机器学习基础，并热衷于将人工智能和机器学习应用于解决具有重大影响的社会问题。理想的候选人应通过学术、研究或项目工作，拥有机器学习和深度学习的实际经验，并对将这些技术应用于实际问题有浓厚兴趣。他们应熟悉处理数据、开发和评估模型，并能将现实世界的问题转化为实际的AI解决方案。强大的软件工程技能、优秀的沟通能力以及在跨职能团队中有效工作的能力是必不可少的。
作为高级机器学习科学家，你将在资深机器学习科学家的指导下，为具有社会意义的问题构建机器学习解决方案。
- 为了将机器学习用于社会公益，你需要理解用户的问题及其背景，整理和转换数据，训练和验证模型，定义适当的评估方法，运行实验和模拟，并从数据中得出见解。
- 你将与涵盖工程、解决方案和领域专家的跨职能团队合作，开发既技术稳健又符合实际需求的解决方案。你还将与社会领域的组织和利益相关者互动，了解问题并帮助成功部署AI解决方案。
- 你将被鼓励在不同的机器学习技术和应用领域中拓展广度，同时在与你所解决问题相关的领域中深入发展专业知识。根据项目不同，这可能包括涉及语言、语音、计算机视觉、表格数据或时间序列数据的应用。作为个人贡献者表现出色的同时，还需要具备强大的协作能力、好奇心，以及持续学习的意愿，并为团队贡献想法、技术和知识。
要求
- 计算机科学、电子工程、统计学、应用数学、物理学、经济学或其他相关定量学科的学士或硕士学位（或同等学历），0–2年的工作或研究经验。
- 扎实的机器学习和深度学习基础，包括对常见模型架构如CNN、RNN和Transformer的熟悉。
- 在一种或多种编程语言（如Python）中有扎实的软件工程技能。
- 实际项目经验，能够独立完成从数据处理到模型开发的全流程。
- 良好的逻辑思维能力和问题解决能力，能够快速学习新技术并应用到实际场景中。
- 具备良好的沟通能力，能够清晰表达技术观点并与团队成员高效协作。
查看英文原文
This is a remote position.
We are looking for an Associate Machine Learning Scientist with a strong foundation in machine learning and a passion for applying AI and ML to solve high-impact societal challenges. The ideal candidate will have hands-on experience with machine learning and deep learning through academic, research, or project work, and a strong interest in applying these techniques to real-world problems. They should be comfortable working with data, developing and evaluating models, and translating real-world challenges into practical AI solutions. Strong software engineering skills, excellent communication, and the ability to work effectively in cross-functional teams are essential.As an Associate Machine Learning Scientist, you will build machine learning solutions to problems of societal importance under the guidance of senior ML scientists.
· 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, define appropriate evaluations, run experiments and simulations, and derive insights from data.
- You will work in cross-functional teams spanning engineering, solutions, and domain experts to develop solutions that are both technically robust and relevant to real-world needs. You will also interact with social sector organisations and stakeholders to understand challenges and contribute to the successful deployment of AI solutions.
- You will be encouraged to build breadth across different machine learning techniques and application areas, while developing deeper expertise in areas aligned with the problems you work on. Depending on the project, this may include applications involving language, speech, computer vision, tabular data, or time-series data. Excellence as an individual contributor goes together with strong collaboration, curiosity, and a willingness to continuously learn while contributing ideas, techniques, and knowledge to the team.
Requirements
- Bachelor's or Master's degree (or equivalent) in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, Economics, or another relevant quantitative discipline, with 0–2 years of work or research experience.
- Strong foundation in machine learning and deep learning, including familiarity with common model architectures such as CNNs, RNNs, and Transformers.
- Solid software engineering skills in one or more programming languages, such as Python.
- Hands-on experience with machine learning through academic projects, research, internships, or other applied work.
- Experience working with data, including data preparation, analysis, visualization, and experimentation.
- Experience implementing, training, and evaluating machine learning or deep learning models.
- Track record of project work in applied machine learning. Experience applying AI models to concrete, real-world problems is a plus.
- Candidates may have experience across a range of application areas, including computer vision, natural language processing, speech, tabular data, and time-series modelling. Depth in one or more of these areas is valuable, while breadth across multiple areas is an advantage.
- Familiarity with modern deep learning models, frameworks, and libraries relevant to these application areas is desirable.
- Excellent written and verbal communication skills and the ability to work effectively in cross-functional teams.
- Passion for applying AI and machine learning to solve large-scale societal challenges.
Benefits
Wadhwani AI - Full Time Employee Benefits (Not applicable for Intern or Contract Roles)
· Insurance Benefits - Medical Insurance, OPD Coverage, Accidental Insurance, Life Insurance.
- Wellness Program - Employee Assistance Program, Annual Health Check-Ups, Onsite Medical Centers, Emergency Support System.
- Parental Support - Maternity Benefit, Travel Reimbursement for Expectant Mothers during Last Trimester, Paternity Benefit, Day Care Support Program
- Mobility Benefits - Travel Policy, Relocation and Deputation benefits,
- Statutory Benefits - Employee PF Contribution, Gratuity, Leave Encashment
- Other Benefits – Unlimited Leave Policy, Professional Development Policy, Referral Bonuses, Internet and Telephone Allowance.
We care deeply about the well-being of our employees and their families. You will get an opportunity to take on roles beyond a defined job description. Take a look at our websiteto learn more about our work on AI for Social Impact. These are just some of the reasons why working with us is more than just a job — it's a chance to grow, thrive and contribute to society.
Originally posted on Himalayas