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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


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.


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.


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.


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.


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.



Please click here to apply.


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