Data Scientist / Machine Learning Engineer

Company : Soothsayer Analytics

Working Hours : Full Time

Locations : Hyderabad

Experience : 4–5 Years (with recent experience in Computer Vision)

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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, anomalib
• Architectures: ResNet, Faster R-CNN, Swin Transformer, Autoencoders (SAE/VAE), Masked Autoencoders (MAE)
• Concepts: Image classification, object detection, segmentation, CNN architectures

Machine Learning & Data Science

• Techniques: Supervised/Unsupervised learning, XGBoost, LightGBM, Random Forest, PCA/SVD, Cross-Validation
• Libraries: Scikit-learn, XGBoost, Pandas, NumPy, SciPy, Matplotlib

Data & Tools

• Basic SQL knowledge
• Familiarity with Git or version control
• Experience working with structured and unstructured datasets

Education & Experience

• 4–5 years of overall experience, with recent hands-on work in Computer Vision projects for at least 1 year
• 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

Why Soothsayer Analytics?

Soothsayer is a global leader in Pattern Recognition and Unstructured Data. Our Hyderabad team works closely with our US headquarters on real-world AI problems across industries. This role offers strong learning exposure, hands-on experience, and the opportunity to work on impactful AI solutions from day one.