Machine Learning Engineer - Computer Vision in Bangalore, भारत

About Us : At Hoomanely, we're building a precision health platform for pets - a sensor-driven, AI-powered ecosystem that transforms everyday health signals into actionable https://jobeax.com/link/PJmem47rnX7P4WWf products combine hardware, software, and machine learning to help pet parents better understand and monitor their pets' https://jobeax.com/link/qo0E76rNDzJN8or8 the Role : We're looking for a hands-on Machine Learning Engineer with strong experience in Deep Learning and Computer Vision to develop, train, evaluate, deploy, and maintain ML https://jobeax.com/link/QWvRhyOMxqsYUMTK ideal candidate should have practical experience in image classification, object detection, image segmentation, and CNN based architectures, along with exposure to time-series analysis, audio processing, and sensor https://jobeax.com/link/U2CZMWvzVQzo16l7 You'll Do : - Develop and train deep learning and computer vision models for image classification, object detection, and image segmentation.- Work with CNN architectures such as YOLO, ResNet, EfficientNet, MobileNet, and U-Net.- Prepare, label, preprocess, and augment custom datasets.- Use Python, PyTorch, TensorFlow/Keras, and OpenCV for model development.- Perform model training, validation, fine-tuning, hyperparameter tuning, and performance evaluation.- Work with time-series data, audio signal processing, and sensor fusion.- Deploy and optimise models for production, edge, and embedded environments.- Work with ONNX, TensorFlow Lite, and model optimisation techniques.- Monitor model performance, detect data/model drift, and support retraining pipelines.- Collaborate with hardware, firmware, and application https://jobeax.com/link/b98mNqN2dpm2gqBN Skills & Experience : - https://jobeax.com/link/2DENLGgQM7whDhaE from a Tier 1 institute (IIT, NIT, BITS Pilani or equivalent).- 3+ years of applied Machine Learning and Deep Learning experience.- Strong hands-on experience in Computer Vision.- Practical experience in image classification, object detection, and/or image segmentation.- Experience training and fine-tuning deep learning models on custom datasets.- Strong understanding of CNN architectures such as YOLO, ResNet, MobileNet, and EfficientNet.- Proficiency in Python, PyTorch or TensorFlow/Keras, and OpenCV.- Knowledge of model evaluation metrics such as accuracy, precision, recall, F1-score, mAP, and IoU.- Understanding of time-series analysis and CNNs, RNNs, or signal processing.- Experience taking ML models from prototype to production https://jobeax.com/link/KQDGvTTsHQulXsuL to Have : - Experience with ONNX, TFLite, and Edge AI.- Knowledge of model quantisation, pruning, and inference optimisation.- Experience with audio processing and accelerometer-based activity classification.- Exposure to MLOps, model monitoring, and retraining pipelines.- Experience in IoT, wearables, or https://jobeax.com/link/ab9OofC3EDwjx6sz Join Us? - Work on real-world Deep Learning and Computer Vision applications.- Build models deployed on actual hardware.- Work closely with the ML Lead and take ownership of key projects.- Join a fast-moving team building innovative pet health technology. (ref:hirist.tech)