Data Scientinst- Computer Vision

Data Scientinst- Computer Vision

Location Bangalore

Experiance 6 -12

Role Overview

We are seeking a hands-on Data Scientist (Computer Vision) to design, build, and productionize AI/ML solutions across image/video processing, OCR, facial recognition, medical imaging, and multimedia analytics. You will own end-to-end development—from exploratory data analysis and model training to evaluation, deployment, and MLOps—and collaborate closely with stakeholders and customers to deliver secure, reliable, and measurable outcomes on AWS, Azure, or GCP.

Key Responsibilities

1) Computer Vision & ML

• Design and implement CV pipelines image preprocessing, augmentation, feature extraction, and model training for classification, detection, segmentation, tracking, and video content analysis.
• Build OCR solutions (document/image text extraction) and facial recognition with attention to accuracy, bias, and security.

2) Data Science & EDA

• Perform exploratory data analysis, data labeling strategies, and dataset curation; manage class imbalance and noisy labels.
• Define data quality metrics; implement robust preprocessing (denoising, normalization, augmentation).

3) Engineering & MLOps

• Package models as REST APIs (FastAPI/Flask) and deploy to cloud application platforms (AWS/Azure/GCP).

4) Domain-Specific (Optional Health/Medical Imaging)

• Build CV solutions for medical imaging (X-ray, CT, MRI, ultrasound) segmentation, detection, triage assistance.
• Collaborate on regulatory compliance (privacy/security, auditability) and clinical validation protocols.

5) Stakeholder & Customer Collaboration

• Translate business requirements into technical plans; drive customer interaction management and stakeholder communication.
• Create clear documentation, demos, and training materials; run PoCs and production pilots; manage feedback loops.

Flexible work options and a culture that values collaboration and continuous learning.Opportunities to work on diverse projects and technologies.Access to training and certifications in software development and emerging technologies.Inclusive and supportive teams focused on innovation and excellence.