Data Scientist / Machine Learning Engineer

As a Data Scientist / Machine Learning Engineer at Soothsayer Analytics, your role will involve developing and improving AI models for visual inspection and image-based analysis to support real-world industrial use cases. You will work under the guidance of senior team members with a focus on implementation, experimentation, and continuous improvement of models. Key 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 such as PyTorch and OpenCV to build and enhance model performance. - Implement anomaly detection approaches, including unsupervised defect localization using PatchCore, and work with modern architectures like Segment Anything (SAM) and Swin Transformers. - Utilize 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 like mAP, precision, recall, and F1-score, following established validation approaches for model reliability. - Assist in integrating models into existing pipelines and support deployment efforts. - Collaborate closely with cross-functional teams to communicate results to technical stakeholders and clients. Qualifications Required: - 45 years of overall experience, with recent hands-on work in Computer Vision projects for at least 1 year. - Bachelors degree in Computer Science, Engineering, Mathematics, or a related field. - 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 such as CNNs, image preprocessing, and 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 global leader in Pattern Recognition and Unstructured Data. The Hyderabad team collaborates closely with the US headquarters on real-world AI problems across various industries. Joining Soothsayer Analytics offers you strong learning exposure, hands-on experience, and the opportunity to work on impactful AI solutions from day one. As a Data Scientist / Machine Learning Engineer at Soothsayer Analytics, your role will involve developing and improving AI models for visual inspection and image-based analysis to support real-world industrial use cases. You will work under the guidance of senior team members with a focus on implementation, experimentation, and continuous improvement of models. Key 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 such as PyTorch and OpenCV to build and enhance model performance. - Implement anomaly detection approaches, including unsupervised defect localization using PatchCore, and work with modern architectures like Segment Anything (SAM) and Swin Transformers. - Utilize 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 like mAP, precision, recall, and F1-score, following established validation approaches for model reliability. - Assist in integrating models into existing pipelines and support deployment efforts. - Collaborate closely with cross-functional teams to communicate results to technical stakeholders and clients. Qualifications Required: - 45 years of overall experience, with recent hands-on work in Computer Vision projects for at least 1 year. - Bachelors degree in Computer Science, Engineering, Mathematics, or a related field. - 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 such as CNNs, image preprocessing, and 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 global leader in Pattern Recognition and Unstructured Data. The Hyderabad team collaborates closely with the US headquarters on real-world AI problems across various industries. Joining Soothsayer Analytics offers you strong learning exposure, hands-on experience, and the opportunity to work on impactful AI solutions from day one.