Data Scientist / Machine Learning Engineer

Soothsayer Analytics; Hyderabad; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Soothsayer Analytics is looking for a Data Scientist / Machine Learning Engineer in Hyderabad. The ideal candidate will have 4–5 years of experience with at least 1 year in Computer Vision, focusing on developing AI models for visual inspection. Responsibilities include model training using frameworks like PyTorch and performance evaluation. This role offers a chance to work on impactful AI solutions and gain hands-on experience within a global team. Strong programming skills and understanding of computer vision are essential.

Qualifications

• 4–5 years of overall experience, with 1 year hands-on in Computer Vision.
• Hands-on experience with at least one deep learning framework (PyTorch or TensorFlow).
• Ability to write clean Python code for data processing and model development.

Responsibilities

• Develop and train computer vision models for image classification and object detection.
• Work with image datasets for data cleaning and preprocessing.
• Apply deep learning frameworks to build models and improve performance.
• Evaluate model performance using metrics like mAP, precision, and recall.

Skills

Computer Vision

Deep Learning

Python

SQL

Git

Education

Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field

Tools

PyTorch

OpenCV

Detectron2

scikit-image

MMSegmentation

anomalib

Job description

Data Scientist / Machine Learning Engineer

Company: Soothsayer Analytics

Working Hours: Full Time

Locations: Hyderabad

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

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
• Techniques: Supervised/Unsupervised learning, XGBoost, LightGBM, Random Forest, PCA/SVD, Cross‑Validation

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.