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.