Associate ML Scientist II

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.

• Build robust machine learning solutions that address problems of societal importance, under the guidance of senior ML scientists.
  
• Translate challenges in the social sector into well-defined AI problems.
  
• Develop and execute algorithms and models to solve the identified problems effectively.
  
• Contribute to the successful and scalable deployment of AI solutions in real-world settings.
  
• Define and apply appropriate evaluation metrics to assess the impact and effectiveness of deployed solutions.
  
• Understand user challenges and contextual factors that influence the solution’s performance and relevance.
  
• Curate, clean, and transform datasets for use in training and validating ML models.
  
• Conduct model training, validation, simulations, and extract meaningful insights from data.
  
• Collaborate with cross-functional teams including engineers, solution leads, and domain experts to develop holistic AI solutions.
  
• Interface with social sector organizations and stakeholders to ensure the solution meets on-ground needs.
  

Requirements

• Associate ML scientists will have a strong academic background in a quantitative field such as B.Tech./B.E./B.S./M.Tech./M.E./M.S./M.Sc. or equivalent in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, Economics or a relevant quantitative field with a work experience of 3-6 years.
  
• Candidates should have excellent communication skills and a willingness to adapt to the challenges of doing applied work for social good.
  
• Solid software engineering skills across one or multiple languages including Python, C++, Java.
  
• Interest in applying software engineering practices to ML projects.
  
• Track record of project work in applied machine learning. Experience in applying AI models to concrete real-world problems is a plus.
  
• Strong verbal and written communication skills in English.
  

Benefits

• 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.