Data Scientist (Computer Vision & Machine Learning) (Telangana)

Job Responsibilities - - Develop and train computer vision models for tasks such as image classification, object detection, and segmentation. - Work with image datasets, including data cleaning, annotation support, preprocessing, and augmentation. - Apply deep learning frameworks to build and improve model performance. - Implement and test approaches for anomaly detection, including unsupervised defect localization using PatchCore, and work with modern architectures such as Segment Anything (SAM) and Swin Transformers. - Apply standard machine learning techniques such as Regression, Gradient Boosting, and Time-Series methods to integrate visual data with structured metadata for business insights. - Evaluate model performance using metrics such as mAP, precision, recall, and F1-score, and follow established validation approaches to ensure model reliability. - Assist in integrating models into existing pipelines and support deployment efforts. - Work closely with cross-functional teams to communicate results to technical stakeholders and clients. Technical Skills & Stack - Computer Vision & Deep Learning (Core Focus): - Libraries : PyTorch, OpenCV, scikit-image, Detectron2, MMSegmentation, and anomalib. - Architectures : ResNet, Faster R-CNN, Swin Transformer, Autoencoders (SAE/VAE), and Masked Autoencoders (MAE). - Concepts : Image classification, object detection, segmentation, basic CNN architectures Machine Learning & Data Science : - Techniques : Supervised/Unsupervised learning, XGBoost, LightGBM, Random Forest, PCA/SVD (Dimensionality Reduction), and Cross-Validation. - Libraries : Scikit-learn, XGBoost, Pandas, NumPy, SciPy, and Matplotlib. Data & Tools : - Basic SQL knowledge - Familiarity with Git or version control - Experience working with structured and unstructured datasets Education & Experience - - Experience : 4-5 years of overall experience, with recent hands-on work in Computer Vision projects for at least 1 year - Education : Bachelors degree in Computer Science, Engineering, Mathematics, or related field Must-Have Requirements - - Hands-on experience with at least one deep learning framework (PyTorch or TensorFlow) - Recent experience working on Computer Vision use cases - Understanding of core computer vision concepts (CNNs, image preprocessing, model evaluation) - Ability to write clean Python code for data processing and model development - Robust willingness to learn and work in a fast-paced environment .