AI Engineer

Job Description: Lead AI/ML Engineer

Company: oneroot.farm Location: Bengaluru, Karnataka Department: Technology & Product Employment Type: Full-time

About oneroot.farm

At oneroot.farm, we are building the digital backbone of Indian agriculture. Our mission is to empower farmers by combining transparency with cutting-edge technology. We are looking for a versatile AI Engineer to build three critical pillars of our platform: Smart Grading (Vision), Market Intelligence (Forecasting), and Accessible Interfaces (Voice).

Role Overview

You will be the architect behind the "smart" features of the oneroot.farm market app. This is a high-impact role where you will move between training vision models for crop quality, building time-series algorithms to predict market rates, and deploying LLMs to make our app speak the farmer's language.

Key Responsibilities

1. Computer Vision (Automated Grading - "Crop Check")

• Mobile-First Grading: Build and train lightweight CNN models (using TensorFlow Lite or PyTorch Mobile) to run directly on mobile devices.
• Functionality: Enable users to grade produce (e.g., tomatoes, onions, potatoes) for quality, size, and defects simply by taking a photo.
• Optimization: Ensure models are optimized for edge inference to function in low-connectivity farm environments.

2. Price Prediction Engine

• Market Forecasting: Develop robust time-series forecasting models (using ARIMA, LSTM, or Prophet) to predict Mandi prices.
• Data Synthesis: Analyze historical price data, weather patterns, and supply volume to provide farmers with actionable "Sell vs. Hold" recommendations.

3. Vernacular Voice Bots

• Voice-First Interface: Integrate NLP and LLM capabilities to create intuitive voice interfaces.
• Language Support: Build systems that allow farmers to interact with the app (check prices, list crops) in local languages (Kannada, Hindi, Tamil) via speech, removing the barrier of typing and literacy.

4. Deployment & Infrastructure

• Cloud & Edge: Deploy heavy training pipelines on Cloud (OCI/AWS) while optimizing inference for Android edge devices.
• Data Pipelines: Construct data loops to collect ground-truth images and price logs to continuously retrain and improve model accuracy.

Candidate Profile

Technical Skills:

• Computer Vision: Proficiency with Object Detection (YOLO, SSD) and Image Classification. Experience with OpenCV and TFLite is mandatory.
• Data Science: Strong grasp of Time-Series analysis and libraries like Pandas, Scikit-learn, and Facebook Prophet.
• NLP/GenAI: Experience with Speech-to-Text (STT/ASR) APIs (like Google Speech, Whisper) and integrating LLMs for intent recognition.
• Languages: Python (Expert), C++ (Bonus for edge optimization).

Experience:

• 3+ years of experience in Applied Machine Learning.
• Proven track record of deploying models to production (Mobile or Web).
• Ability to work in a startup environment where you own the entire AI lifecycle.

What We Offer

• Accommodation & Food: Complimentary on-site accommodation and all meals are provided.
• Ownership: You will lead the development of the company's USP features.
• Resources: Access to necessary compute power (GPUs) and cloud infrastructure.
• Compensation: Competitive salary package + Performance Bonuses.

Job Types: Full-time, Freelance
Contract length: 3 months

Pay: ₹20,000.00 - ₹45,000.00 per month

Benefits:

• Food provided
• Internet reimbursement

Work Location: In person