Siemens – Graduate Trainee Engineer (IDP Associate)

April 7, 2026
4 β‚Ή LPA - 8 β‚Ή LPA / year

Job Description

About the Job:
🏒 Company Siemens
πŸ’Ό Role IDP Engineer
πŸ“ Location Bangalore
⏳ Experience 0–2 Years
πŸ”– Job Type Full-time

Job Description:

Siemens is hiring a Graduate Trainee Engineer (Intelligent Document Processing Associate) in Bangalore, offering an excellent opportunity for fresh graduates and early-career professionals to work with advanced automation and OCR technologies. As part of Siemens Global Business Services, this role focuses on leveraging cutting-edge tools to transform document processing workflows into intelligent, automated systems. It is an ideal role for candidates interested in AI-driven automation, data extraction, and enterprise-level digital transformation.

In this role, you will work on configuring and optimizing document processing solutions using tools like ABBYY FlexiCapture and Otera AI. You will be responsible for extracting, classifying, and validating data from structured and unstructured documents, ensuring high levels of accuracy and efficiency. The role also involves using programming languages such as Python and JavaScript to customize workflows and automate processes, enabling faster and more reliable document handling.

Additionally, this position emphasizes continuous learning and innovation, allowing you to explore emerging technologies in OCR, AI, and automation. You will collaborate with cross-functional teams to improve system performance, reduce manual effort, and enhance data quality. With exposure to real-world enterprise solutions and global projects, this role provides a strong foundation for building a career in automation, AI, and intelligent document processing.


Roles & Responsibilities:

  • Assist in designing and developing intelligent document processing workflows using OCR technologies.
  • Configure and manage tools like ABBYY FlexiCapture and Otera AI for document classification and data extraction.
  • Develop scripts using Python and JavaScript to automate document processing tasks and workflows.
  • Validate extracted data to ensure accuracy, consistency, and compliance with quality standards.
  • Perform data review, correction, and exception handling for processed documents.
  • Collaborate with team members to enhance automation efficiency and reduce manual intervention.
  • Support testing, debugging, and optimization of document processing solutions.
  • Maintain detailed documentation of workflows, configurations, and system processes.
  • Stay updated with the latest advancements in OCR, AI, and automation technologies.
  • Contribute to continuous improvement initiatives for process optimization and system performance.

Requirements & Eligibility:

  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • 0–2 years of experience, with freshers encouraged to apply if they have strong interest in automation technologies.
  • Proficiency in programming languages such as Python and JavaScript for scripting and automation.
  • Basic understanding of OCR, document processing, and data extraction concepts.
  • Familiarity with tools like ABBYY FlexiCapture or similar platforms is an added advantage.
  • Knowledge of Excel and data handling techniques for managing structured and unstructured data.
  • Strong analytical thinking and attention to detail for ensuring data accuracy and quality.
  • Basic understanding of APIs and system integration concepts is a plus.
  • Good communication and teamwork skills to collaborate effectively in a global environment.
  • A proactive mindset with a willingness to learn and adapt to new technologies.

Expected Salary:

The expected salary for a Graduate Trainee Engineer at Siemens in India typically ranges between β‚Ή4 LPA to β‚Ή8 LPA, depending on academic background, technical skills, and internship experience. Siemens also offers structured learning programs, global exposure, and strong career growth opportunities in automation and digital transformation domains.


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