Machine Learning Engineer - Computer Vision

Job Title: Machine Learning Engineer - Computer Vision Company: Sutra Services Pvt Ltd Job Category: Machine Learning Roles & Responsibilities: Our products combine hardware, software, and machine learning to help pet parents better understand and monitor their pets' health. About 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 models. What 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 teams. Why 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. Work Location: Bengaluru, Karnataka, India Availability: Full time

The 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 fusion. Mandatory Skills \& Experience * B.Tech 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 deployment. Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Model Training, Computer Vision Salary: Not disclosed