Kitron Hiring Automation Trainee (NAPS Program) in Chennai | Fresher Jobs 2025
Kitron Hiring Automation Trainee (NAPS Program) | Chennai Jobs 2025
Are you a Computer Science or Electronics graduate eager to build your career in AI, ML, and Automation? 🚀 Kitron, a global leader in Electronics Manufacturing Services (EMS), is inviting applications for its Automation Trainee – NAPS Program in Chennai, India.
This is a one-year structured training program where you’ll gain hands-on experience with computer vision, AI/ML frameworks, and automation systems under the mentorship of seasoned professionals.
📊 Job Details
Company | Kitron |
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Role | Automation Trainee (NAPS Program) |
Qualification | B.E./B.Tech in Computer Science, Electronics, AI, or related fields |
Eligible Batch | 2024 / 2025 |
Experience | Fresher (Internships / Projects are a plus) |
Skills | Python, AI/ML (OpenCV, TensorFlow, PyTorch), Computer Vision, C# |
Location | Chennai, India |
Program Type | One-year Trainee Program (NAPS) |
Application Deadline | 6th October 2025 |
Salary/Stipend | Monthly stipend + perks & benefits |
🔹 About Kitron
Kitron is a leading Scandinavian Electronics Manufacturing Services (EMS) company with operations across Norway, Sweden, Denmark, Lithuania, Germany, Poland, Czech Republic, India, China, Malaysia, and the USA. With over 2,500 highly skilled employees, Kitron delivers everything from electronic circuit boards to complete end-products for global customers.
Its core competencies include:
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Prototyping and industrialization
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Material analysis
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Test development
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AI/Automation integration
Kitron’s mission is to combine innovation, cost efficiency, and flexibility in the electronics manufacturing value chain.
🔹 Role Overview – Automation Trainee (NAPS Program)
This NAPS trainee program is designed to give graduates practical exposure to AI/ML, computer vision, and automation systems. You will work on real-world projects, collaborate with senior engineers, and learn how AI integrates into industrial and manufacturing applications.
This is an excellent launchpad for freshers looking to specialize in automation, machine learning, and electronics applications.
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🔹 Key Responsibilities
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Collaborate with senior engineers to design computer vision and AI/ML solutions.
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Assist in building and testing ML models and deep learning architectures.
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Support data preparation, cleaning, and augmentation for AI/ML projects.
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Implement algorithms for image classification, object detection, segmentation, and OCR.
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Gain hands-on with Python (OpenCV, TensorFlow, PyTorch, Keras) and C# (integration with industrial systems).
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Assist in deploying AI models on edge devices or cloud platforms.
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Contribute to documentation, reporting, and testing deliverables.
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Stay updated on AI/ML research and industry best practices.
🔹 Required Skills
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Bachelor’s degree in Computer Science, Electronics, AI, or related fields.
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Strong academic or project background in AI/ML, computer vision, or image processing.
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Proficiency in Python with exposure to ML libraries (OpenCV, TensorFlow, PyTorch).
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Basic knowledge of C# programming for applications and industrial systems.
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Familiarity with ML concepts (classification, regression, CNNs).
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Strong problem-solving ability and eagerness to learn quickly.
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Good communication and teamwork skills.
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Bonus: Internships, hackathons, or Kaggle competitions experience.
💼 Benefits & Perks
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Hands-on practical exposure in automation and AI projects.
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Mentorship from experienced industry professionals.
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Opportunity to enhance communication and interpersonal skills.
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Training certificate & recommendation letter upon successful completion.
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Monthly stipend + perks.
👀 Who Can Apply
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Fresh graduates (2024, 2025 batches) with degrees in Computer Science, AI, Electronics, or related fields.
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Candidates passionate about AI, ML, and industrial automation.
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Individuals seeking practical industry exposure and global opportunities.
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📌 How to Apply
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Visit the Kitron Careers page.
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Search for Automation Trainee (NAPS Program) – Chennai.
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Submit your resume and details before the deadline (6th October 2025).
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Shortlisted candidates will be contacted for further assessments.
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