Eligibility Criteria:
Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering or related field Job Location: Bangalore Experience: 0 - 1 Years Apply before: 08/08/2025 Skills: Python Programming Salary: Up to ₹40,000/month(As per Glassdoor)
Responsibilities for the AI/ML Intern Job Opening at Varaha:
- Assist in designing and developing machine learning and deep learning models using Python
- Clean, preprocess, and analyze large datasets (both structured and unstructured)
- Train and evaluate models using libraries like PyTorch or TensorFlow
- Contribute to internal research, model benchmarking, and experimentation
- Document experiments, code, and results for reproducibility and collaboration
Requirements qualifications, capabilities, and skills:
- B.Tech in Computer Science or related fields from IITs only, or
- Master’s in Computer Science, Data Science, AI, or related fields from a recognized institution
- Attention to detail
- Strong foundation in Python programming
- Understanding of core machine learning algorithms and concepts (e.g., regression, classification)
- Familiarity with deep learning techniques and neural networks
- Experience with ML/DL libraries and tools: scikit-learn, pandas, NumPy, PyTorch, or TensorFlow
Bonus Points
- Participation in ML competitions or contributions to ML research
- Interest or experience in Natural Language Processing (NLP), Computer Vision, or MLOps
- Exposure to climate or geospatial datasets
What We Offer
Join a small, ambitious, and international team and enjoy the following benefits:
- Mentorship from a cross-functional, impact-driven team
- Opportunity to work on real-world, scalable AI systems tackling climate change
- A collaborative and creative work environment
⚠️ Important Note:
This is a direct hiring opportunity – No hidden fees or charges for applying!
About the Company
Varaha is a leading climate tech venture focused on nature-based solutions such as regenerative agriculture, ARR, and biochar projects that support smallholder land stewards at scale. In our second year of operation we are removing and avoiding more than 1 Million tons of CO2 and distributing the majority of the revenues to more than 100,000 smallholder land stewards in South Asia and Sub-Saharan Africa
For more info: Click Here!!
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