Associate ML Scientist - I
Location not identified
- Pay
- Salary not listed in the saved posting
- Work setup
Remote stated — work setup source
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.
Read the full posting- Employment
- Unconfirmed
What you’ll work on
Full postingYou 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.
From the employer’s posting
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.
What you’ll bring
All qualificationsCore experience
- 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.
- 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.
Preferred experience
- Experience applying AI models to concrete, real-world problems is a plus.
- Familiarity with modern deep learning models, frameworks, and libraries relevant to these application areas is desirable.
Qualification wording
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.
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.
Familiarity with modern deep learning models, frameworks, and libraries relevant to these application areas is desirable.
Tools in this posting
- Python
Source — Tool mentions in context
- 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.
Benefits in the posting
Full benefits wording- 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.
From the employer’s posting.
Job description
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 website www.wadhwaniai.org to 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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on wadhwaniai.zohorecruit.in. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Location not supplied.
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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 3, 2026
- Recorded sightings
- 26
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.