Veralto Off Campus Drive 2025 Hiring Data Scientist Trainee Can Apply online from below details. Candidates who are interested in Veralto Off Campus Drive Job Openings can go through the below to get more information.
Veralto hiring Data Scientist Trainee
Company: Veralto
Experience Needed: Freshers
Job Req ID: R10260895
Location: Bangalore
Description for Data Scientist Trainee
We are seeking a driven and detail-oriented Data Scientist Trainee with a strong interest in computer vision and OCR (Optical Character Recognition). As part of our AI/ML team, you will assist in developing, training, and evaluating models that extract structured data from images and documents. This is a hands-on opportunity to work with cutting-edge technologies and gain real-world experience in deep learning and image processing.
Key Responsibilities:
Support the development of computer vision and OCR models using deep learning frameworks (e.g., PyTorch, TensorFlow)
Preprocess and annotate image data for training and evaluation
Assist in fine-tuning and evaluating existing vision models
Conduct experiments and document findings clearly
Collaborate with data scientists and engineers on model deployment and performance tracking

Start Date: 14th July 2025
Click here to Join on WhatsApp:- https://bit.ly/39gGfwZ
Click here to Join on Telegram:- https://telegram.me/qaidea
Requirements:
Currently pursuing or recently completed a degree in Data Science, Computer Vision, Machine Learning, or a related field
Basic understanding of image processing and neural networks (CNNs, transformers)
Familiarity with Python and relevant libraries (e.g., OpenCV, PyTorch, TensorFlow)
Enthusiastic about solving real-world problems using AI and vision technologies
Strong analytical skills and attention to detail
Apply to Veralto hiring Data Scientist Trainee
How to Apply Veralto Off Campus Drive 2025
Click on Apply to Official Link Veralto Above – You will go to the Company Official site
First of all Check, Experience Needed, Description and Skills Required Carefully.
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