Esko is hiring for an fresher entry level Data Scientist Trainee role in India

Position:

• Data Scientist Trainee

Company:

• Esko (a Veralto company)

Location:

• Bangalore, Karnataka, India

Job type:

• Full-time

Job mode:

• Onsite

Job requisition id:

• R10260895

Years of experience:

• 0-3 years

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Company Description

• Esko, a Veralto company, operates at the intersection of technology and design, offering smart solutions that enable innovation in packaging and labeling industries.

• With a strong focus on digital transformation, Esko delivers powerful software and hardware tools to help companies manage, create, and produce their brand content efficiently.

• Being a part of Veralto, Esko benefits from a broader ecosystem of companies focused on water quality and product integrity, yet it maintains its specialized focus in the packaging domain.

• The organization thrives on fostering a collaborative and inclusive work culture where people from diverse backgrounds contribute their unique experiences to build impactful solutions.

• Located in the tech-hub of Bangalore, Esko’s engineering team works closely with global stakeholders to design and implement AI and machine learning-driven innovations.

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Profile Overview

• The Data Scientist Trainee role is an excellent entry point for individuals enthusiastic about computer vision, OCR (Optical Character Recognition), and practical AI applications.

• This opportunity is ideal for candidates who are either fresh graduates or currently pursuing degrees in related fields such as Data Science, Machine Learning, or Computer Vision.

• The selected individual will engage directly with real-world image datasets, helping build and evaluate deep learning models tailored to extract structured data from unstructured visual sources.

• Trainees will gain hands-on experience in handling data pipelines, annotating images, training neural networks, and collaborating in a fast-paced product team environment.

• It's not just an internship or an observation-based role - it’s an immersive learning experience where your contributions will directly impact the technology development at Esko.

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Qualifications

• Candidates should be currently enrolled in or have recently completed undergraduate or graduate-level coursework in Data Science, AI, ML, Computer Vision, or related disciplines.

• Foundational understanding of deep learning architectures such as Convolutional Neural Networks (CNNs) and Transformers is expected.

• Familiarity with Python programming is essential, particularly working with libraries like OpenCV, PyTorch, and TensorFlow.

• Hands-on experience with model training or personal/academic projects in OCR or image classification tasks will be highly advantageous.

• Applicants must possess a curious and analytical mindset, strong problem-solving skills, and a keenness to learn and apply machine learning solutions in real-world business contexts.

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Additional Info

• The role emphasizes collaboration, so excellent communication and documentation skills are highly valued.

• Candidates should be open to receiving feedback and iterating their solutions in line with team standards.

• Veralto, Esko’s parent company, upholds a strong commitment to diversity and equal opportunity, welcoming talent from all walks of life.

• While the current position is onsite in Bangalore, Esko fosters an inclusive and encouraging environment that supports learning and growth.

• This role also presents a potential pathway for long-term opportunities within the company, contingent on performance and future openings.

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Detailed Paraphrased Job Description

Introduction to the Role

• Esko is currently hiring a Data Scientist Trainee to join its AI/ML team in Bangalore. This role will focus specifically on building intelligent computer vision systems.

• As a trainee, you’ll engage with some of the latest tools and frameworks in the AI domain to develop machine learning models that extract meaningful information from document images.

• The role serves as a springboard for individuals passionate about the intersection of data science, machine learning, and visual recognition technologies.

• You’ll have the opportunity to work in a real-world engineering environment and contribute directly to product development initiatives within the Veralto ecosystem.

Core Responsibilities

• Contribute to the development of AI models focused on optical character recognition and image analysis using leading frameworks like PyTorch and TensorFlow.

• Participate in preparing datasets, including tasks such as preprocessing image files, augmenting data, and labeling elements manually or semi-automatically.

• Collaborate with experienced data scientists to fine-tune existing neural network models, analyze outputs, and improve the quality of predictions.

• Conduct validation experiments to benchmark model accuracy, robustness, and scalability for practical deployments.

• Take ownership of maintaining thorough documentation of all experiments, including datasets used, models tested, evaluation metrics, and learnings.

• Assist in deploying the finalized models into Esko’s software systems and track their performance using tools and dashboards.

• Stay updated with recent trends and research in OCR, deep learning, and computer vision to bring fresh insights into the development process.

Skills and Tools You’ll Use

• Python programming: writing clean and reproducible code using Jupyter Notebooks or Python scripts.

• Deep learning libraries: PyTorch and TensorFlow for building, training, and fine-tuning image models.

• Image processing tools: OpenCV for preprocessing images and performing visual transformations.

• Data handling: Pandas and NumPy for organizing and manipulating datasets.

• Version control: Git for collaboration and code management.

• Experiment tracking: Excel/Notion/Jira or other internal tools for documenting results.

• Optional exposure to cloud ML tools or deployment platforms depending on project needs.

Learning Outcomes

• Learn the fundamentals of building AI models for real-world computer vision applications beyond academic settings.

• Gain a practical understanding of OCR and how to optimize models to extract structured content from documents.

• Work with experienced engineers and data scientists to develop teamwork and agile practices in an industry setting.

• Improve your programming and machine learning debugging skills through regular code reviews and mentoring.

• Understand how to transition from model development to deployment in a production-grade software system.

• Cultivate discipline in tracking experiments, documenting progress, and communicating updates clearly to stakeholders.

Culture and Work Environment

• Esko provides a startup-like environment backed by the scale and stability of Veralto, offering the best of both worlds.

• Team members are encouraged to take initiative and ownership, even at trainee levels, while being supported through structured mentorship.

• Esko’s inclusive culture values all perspectives and recognizes that innovation thrives on diversity of thought.

• Team rituals include weekly standups, sprint planning, code reviews, and learning sessions where trainees can present or ask questions freely.

• There’s an openness to experiment with new ideas and tools, fostering a learning culture rather than a rigid process-driven one.

Ideal Candidate Profile

• Passionate about AI/ML and driven to use technology for solving complex problems in the visual and document understanding space.

• Has a solid foundation in mathematics, statistics, and neural network principles.

• Enjoys hands-on coding, testing, and refining models iteratively based on feedback and results.

• Communicates clearly and is comfortable working both independently and collaboratively.

• Open to learning from others and eager to contribute meaningfully to shared goals.

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Please click here to apply.

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