Data Scientist Computer Vision & Machine Learning

Crescendo Global Leadership Hiring India; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Crescendo Global Leadership Hiring India is seeking a Data Scientist with hands-on experience in Computer Vision, Machine Learning, and Deep Learning. The role focuses on building and optimizing CV models for high-speed environments, including object detection, OCR, model diagnostics, active learning, and Edge AI.

Location is Bengaluru. The employer is a global AI and analytics organization offering an innovative, collaborative setting to tackle real-world AI challenges and grow with modern ML

Qualifications

• Bachelor's degree in CS/DS/EE/Math or related field.
• 3–4 years of experience in Data Science, ML, or CV.
• Strong Python production‑level coding skills.
• Experience with PyTorch or TensorFlow, OCR and CV.

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.
• Build active learning and automated ground‑truth generation pipelines.
• Develop tracking logic to improve OCR accuracy and stabilize predictions.
• Collaborate with engineering teams to optimize models for real‑time Edge deployment.

Skills

Python

PyTorch

TensorFlow

Object detection

Edge AI

Education

Bachelor's degree

Tools

Git

Docker

Linux

Job description

Data Scientist Computer Vision & Machine Learning-3-6 years- 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.

Location –

Bengaluru

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 –

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


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


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


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


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

Requirements –

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


2. 3–4 years of professional experience in Data Science, Applied Machine Learning, or Computer Vision.


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


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


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

What is in it for you –

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


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


3. Opportunity to work on large‑scale real‑world AI applications.


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


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