Role : Data Scientist - Computer Vision & Machine Learning

Experience : 3 - 6 years

Location : Bangalore

We are looking for a Data Scientist with strong hands-on experience in Computer Vision, Machine Learning, and Deep Learning. The role involves developing and optimizing computer vision models for real-world, high-speed environments, with a focus on object detection, OCR, model diagnostics, active learning, and Edge AI.

Your Future Employer :

A leading global AI and analytics organization working on advanced analytics, data engineering, machine learning, Generative AI, and AI-powered solutions. The organization offers an innovative and collaborative environment where professionals work on complex, real-world AI challenges.

Responsibilities :

- Develop, train, fine-tune, and evaluate computer vision models for object detection, pose estimation, license plate recognition, and OCR.

- Analyze large-scale video and image datasets to identify visual failure patterns using clustering, dimensionality reduction, and data analytics techniques.

- Build active learning and automated ground-truth generation pipelines to continuously improve machine learning models.

- Develop tracking logic and mathematical techniques to improve OCR accuracy, handle occlusions, and stabilize predictions.

- Collaborate with engineering teams to optimize AI models for real-time Edge deployment while meeting latency and compute requirements.

Requirements :

- Bachelor's degree in Computer Science, Data Science, Electrical Engineering, Mathematics, or a related field.

- 3 - 4 years of professional experience in Data Science, Applied Machine Learning, or Computer Vision.

- Strong proficiency in Python with experience developing clean, modular, and production-ready code.

- Hands-on experience with PyTorch or TensorFlow, object detection, OCR, image processing, and deep learning.

- Good understanding of statistics, clustering, data distributions, Git, Docker, and Linux environments.

What is in it for you :

- Opportunity to work on advanced Computer Vision and Machine Learning solutions.

- Exposure to Edge AI, OCR, object detection, active learning, and multimodal AI.

- Opportunity to work on large-scale real-world AI applications.

- Exposure to modern Deep Learning frameworks and cloud-based ML platforms.

- Collaborative environment with opportunities for continuous learning and career growth.