AI/ML Executive – Social Impact & Innovation

0 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

Nexus3P Foundation


Key Responsibilities


  • Scout, assess, and propose high-impact AI/ML-driven business ideas and start-ups aligned with the Foundation’s mission.
  • Build prototypes or proof-of-concept solutions leveraging AI, ML, and modern technologies in one or more focus areas.
  • Evaluate the viability, scalability, and potential impact—both social/environmental and financial—of proposed solutions.
  • Collaborate with internal teams, external partners, and start-up founders to drive projects from ideation to pilot/implementation.
  • Produce detailed project documentation, impact assessments, and technical reports.
  • Remain updated on trends in AI, ML, social innovation, and emerging technologies.


Required Skills & Qualifications


  • Strong foundation in computer science/engineering, with deep hands-on experience in AI/ML (academic coursework, projects, internships, or previous ventures).
  • Experience with Python, data science packages (NumPy, pandas, scikit-learn, TensorFlow or PyTorch).
  • Ability to rapidly prototype AI/ML models for classification, regression, clustering, or NLP applications.
  • Broad understanding of social sector challenges in India around sustainability, agriculture, public health, societal issue in India and behavioral sciences.
  • Demonstrated motivation or experience (academic, voluntary, or professional) in social entrepreneurship or impact-driven projects.
  • Analytical and problem-solving mindset; able to translate open-ended problems into actionable research or technical solutions.
  • Self-starter with effective communication and collaboration skills.


Preferred Skills


  • Exposure to other modern technologies (IoT, robotics, blockchain, biotech, or geospatial analytics).
  • Familiarity with design thinking, product development, or start-up incubation.
  • Previous internships/projects in social/environmental domains.


Sample Problems & Potential Solutions

Below are examples of challenges and ideas that the AI/ML Executive might tackle within each focus area:


Pollution Mitigation

  • AI-based air and water quality prediction and alerting.
  • Satellite imagery analysis for illegal dumping or toxic discharge.
  • ML-driven optimization for industrial emission reduction.


Agricultural & Food Waste Valorization

  • Predictive modeling for reducing farm-to-fork wastage.
  • Automated image recognition to sort recyclable/biodegradable waste.
  • Recommender system for surplus food redistribution platforms.


Endocrine, Nutritional & Metabolic Diseases

  • ML tools for early detection of diabetes or thyroid issues using health datasets.
  • AI-driven personalized nutrition plans for vulnerable populations.
  • Chatbots for disease awareness and remote screening.


Soil Health & Conservation

  • Remote sensing and ML models for soil quality mapping.
  • Predictive analytics for fertilizer usage and crop rotation.
  • Mobile apps for farmers to assess soil health via image analysis.


Sustainable Agriculture & Biodiversity

  • Species recognition using computer vision for biodiversity tracking.
  • Risk forecasting for crop diseases and pests using ML.
  • Decision-support tools for sustainable water/fertilizer management.


Human Behaviors Influence

  • Behavioral nudges via app-based interventions to induce eco-friendly actions.
  • Analysis of social media data to map and influence public health behaviors.
  • ML-based monitoring of adoption of health/safety guidelines.


Societal Impact

  • Data-driven impact assessment models for funded projects.
  • Chatbots or AI-based helpdesks for underserved communities.
  • Predictive analytics to forecast outcomes of social policies.  


Compensation


Location -

The Ideal Candidate


You’re a curious, adaptable technologist with a genuine desire to create positive change. You thrive at the intersection of advanced technology and real-world impact, unafraid to experiment, collaborate, and learn quickly in a dynamic environment. Whether your background is academic, entrepreneurial, or unconventional, your focus is on delivering scalable solutions for social good.


This role offers an opportunity to help shape India’s future, address urgent challenges at scale, and work with some of the most inspiring minds at the edge of technology and impact investing.

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