✨ Esko, a global provider of integrated software and hardware solutions for the packaging, label, and print industries, is inviting fresh minds to join its AI/ML team as Data Scientist Trainees. This role is ideal for tech-savvy students or recent graduates passionate about computer vision, OCR, and deep learning. With a focus on practical application, this opportunity offers real-world exposure to AI-based image processing, helping you kickstart a career in data science and machine learning with one of the industry’s most innovative teams. Don’t miss the chance to train on live projects and evolve in the AI space!
| Esko | |
| Job Role | Data Scientist Trainee |
| Qualification | Bachelor’s or Master’s degree |
| Batch | 2022/2023/2024/2025 |
| Experience | Freshers |
| Salary | ₹ 4 – 10 LPA(Via Glassdoor) |
| Location | Bangalore |
| Last Date | ASAP |
| Apply Link Below | |
|---|---|
✅ Eligibility Criteria
🎓 Currently pursuing or recently graduated with a degree in:
• Data Science
• Machine Learning
• Computer Vision
• AI or Related Fields
💻 Skills Required:
• Basic understanding of CNNs, transformers, and image processing• Knowledge of Python, OpenCV, PyTorch, TensorFlow
• Analytical mindset with keen attention to detail
• Passion for solving real-world AI problems
🧾 Job Description
👁️ Work with cutting-edge computer vision and OCR models
🔧 Preprocess, annotate, and prepare image data for training
📊 Assist in fine-tuning deep learning models using modern frameworks
🧪 Conduct model experiments and clearly document results
🤝 Collaborate with engineers and data scientists on model deployment
🌟 Why Join Esko?
🚀 Hands-on experience in AI and image processing projects
🧠 Work with an expert AI/ML team on real-world data
🌍 Exposure to global workflows in the packaging software industry
📚 Opportunity to explore new research and technologies
💼 Fast-track your career in Data Science & AI
🏢 About Esko (SEO Optimized)
Esko is a leading global provider of software and hardware solutions for packaging design, printing, and label production. With innovation at its core, Esko integrates AI, machine learning, and automation to transform how brands bring their packaging to life. Esko’s tech-driven environment is ideal for budding data scientists and AI engineers looking to make an impact.
🔍 Additional Highlights
📘 Get hands-on with tools like PyTorch, TensorFlow, and OpenCV
🌐 Learn from top-tier professionals in AI/ML
💡 Develop solutions with real application in the packaging industry
📈 Excellent learning curve in deep learning & image recognition
⏱️ Ideal internship-style role with potential for full-time growth
📨 How to Apply?
All eligible and enthusiastic candidates can apply online using the link provided below. Start your AI journey today with Esko!
| Jobs by Qualification | |
| B.Tech | BBA |
| B.Sc | B.Com |
| M.Sc | M.Com |
| MCA | MBA |
| BCA | M.Tech |
❓ Top 5 Interview Questions & Answers
🔸 Q1. What is Optical Character Recognition (OCR)?
A: OCR is a technology used to convert different types of documents, such as scanned paper, PDFs, or images, into editable and searchable data.
🔸 Q2. What are Convolutional Neural Networks (CNNs) used for?
A: CNNs are deep learning models designed to process structured grid data like images, often used for tasks such as image classification and object detection.
🔸 Q3. How does data preprocessing impact AI model performance?
A: Proper preprocessing ensures clean, accurate, and standardized data input, which leads to more accurate, faster, and efficient model training.
🔸 Q4. Name a few image preprocessing techniques.
A: Image resizing, normalization, augmentation (like rotation, flipping), grayscale conversion, and filtering are common techniques.
🔸 Q5. What is the difference between supervised and unsupervised learning?
A: Supervised learning uses labeled data for training, while unsupervised learning finds patterns in unlabeled data without predefined outcomes.
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