Job description

**Title: Data Scientist / Machine Learning Engineer** **Working Hours** : Full Time **Location** : Hyderabad **Experience** : 4–5 Years (with recent experience in Computer Vision) **About the Role:** Soothsayer is seeking a Data Scientist / Machine Learning Engineer with hands\-on experience in Computer Vision to join our analytics team. You will work on developing and improving AI models for visual inspection and image\-based analysis, supporting real\-world industrial use cases. This role is focused on implementation, experimentation, and continuous improvement of models under guidance from senior team members. **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: Bachelor’s 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 * Strong willingness to learn and work in a fast\-paced environment **About Soothsayer Analytics** Soothsayer Analytics is a leading AI Consulting \& Solutions firm dedicated to transforming businesses into intelligent, data\-driven organizations. Specializing in scalable AI Centers of Excellence and bespoke AI \& GenAI solutions, Soothsayer focuses on building long\-term capabilities via strategy, training, and governance. The company’s flagship GenAI Platform\-as\-a\-Service, AuGENT™, delivers cutting\-edge, no\-code workflow design, advanced retrieval\-augmented generation (RAG), and scalable reasoning solutions. Trusted by Fortune 1000 companies, Soothsayer has implemented hundreds of impactful AI solutions and trained over 10,000 professionals across diverse industries such as healthcare, logistics, manufacturing, and retail. Soothsayer is committed to responsible, sustainable, and strategic AI that delivers measurable impact.