AI/ML Developer
Way2Agribusiness India Pvt. Ltd.
This job at a glance
- Who can apply
- Freshers and up to 2 years
- Must know
- BudgetingMachine learningStatisticsDeep learningPythonJavaScript
- Work
- On-site in Bengaluru
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning62%Statistics28%Deep learning22%Budgeting10%of 99 similar fresher jobs posted in India this week
- Listed
- 1 Nov 2026 · still open
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About Us
Way2Agribusiness India Pvt. Ltd. is building AI-driven intelligence platforms, advisory services, forecasting systems, and digital agriculture solutions. Our integrated AI ecosystem, Way2AgriIntel, features five patented intelligence models:
- CropIntel—Crop Planning & Yield Forecasting
- AgMachineX – Farm Mechanization Intelligence
- AgriFBI – Market & Price Forecasting System
- AgriClinic—Crop & Soil Diagnostic Intelligence
- NutriTracker—Nutrient & Input Recommendation Engine
Our platform integrates:
- Machine Learning for short-term forecasting
- Statistical Modeling for medium-term projections
- Deep Learning for long-term predictive intelligence
The backend is built using Python, Django, REST API & FastAPI, with a Next.js frontend and advanced analytics integration.
Key Responsibilities
- Develop and implement Machine Learning models for crop, price, and yield forecasting.
- Work on statistical modeling and predictive analytics frameworks.
- Build and integrate REST APIs using Django and FastAPI.
- Support frontend-backend integration with Next.js.
- Contribute to AI-based diagnostic and decision-support systems.
- Assist in model testing, optimization, and deployment.
- Collaborate with agronomy, IT, and digital teams for integrated platform delivery.
Requirements & Tech Stack
- Strong fundamentals in Python programming.
- Basic to intermediate knowledge of Machine Learning, Statistical Modeling, & Deep Learning.
- Familiarity with Django, React Native, REST API, FastAPI, & Next.js.
Qualifications
- Graduates / Postgraduates in Computer Science, AI/ML, Data Science, or Engineering.
- Passion for the AI + Agriculture domain.
Note: Interns / 0–2 Years of relevant experience. Internships are paid with guaranteed job placement on successful completion (PPO for deserving candidates). Experienced candidates may be offered a direct role with a higher package.