Applied ML - Engineer

Job Description :

• Development, adaptation, and implementation of AI / ML algorithms and frameworks, Prediction algorithms
• Developing deep learning and machine learning algorithms (CNN, object detection, segmentation, SVM, AE)
• Time series forecasting : AR, ARIMA, SARIMA, ES, Prophet, LSTM
• Conduct data preprocessing, augmentation, and annotation workflows for image datasets.
• Design, train, and validate deep learning architectures for feature identification using CNN, ResNet,
• EfficientNet, YOLO, U-Net, Mask R-CNN, ViT / Swin Transformer.
• Develop clean, modular, and production-ready code for model training, inference, and deployment.
• Collaborate with domain experts to translate agricultural knowledge into AI models.
• Support integration of models with mobile application (through APIs and deployment-ready formats like TensorFlow Lite / ONNX).
• Write unit tests, integration tests, and documentation to support long-term use of the framework.
• Document methodologies, benchmarking reports, and prepare technical handover materials.

Minimum Qualifications and Experience :

OR

Required Expertise :

Location of work :