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Senior ML Engineer builds scalable ETL pipelines, develops ML infrastructure for training/evaluation/inference on cloud/edge, and integrates CV models for analyzing farm images from tractor cameras. Requires 5+ years experience with Python, PyTorch/TensorFlow, data engineering tools, and cloud platforms.
Build scalable ETL pipelines and ML infrastructure for processing massive farm image datasets from tractor-mounted cameras. Develop edge-deployed computer vision models for yield estimation, disease detection, and crop analysis using PyTorch and cloud tools, with 2+ years experience.