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SVI Young Innovator Program - 2026
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RoleNo. of Young Innovators RequiredQualification (Graduate Level)Background DetailsRole Scope
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AI Engineer5Bachelor’s degree in Computer Science, AI, Data Science, Knowledge of Python, ML.Educational Background: Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, or a related field.

Academic exposure: Python, machine learning, or data analytics.
2. Final-year projects or internships related to AI, automation, or analytics will be an advantage.

Soft Skills: Strong problem-solving and analytical abilities.
2. Good communication skills to interact with cross-functional teams.
3. Ability to work in a team-oriented manufacturing environment.
4. Highly motivated to learn new technologies and apply AI in real business use cases.		Design and deploy AI/ML models for defect detection, improvement, predictive maintenance, and operational analytics.
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System Analyst5Bachelor’s degree in IT, Computer Engineering, or related field. Understanding of ERP/MES systems is an advantage.Educational Background: Bachelor’s degree in Computer Science, Information Technology, Information Systems, or a related field.

Experience: Understanding of system analysis and Exposure to ERP, MES, or manufacturing systems is an advantage.

Soft Skills: Strong analytical and logical thinking skills.
2. Good communication skills to interact with users, functional teams, and IT teams.
3. Ability to document requirements clearly and follow processes.
4. Willingness to learn business operations in an EMS manufacturing environmen		Analyze user requirements, prepare system specifications, coordinate with developers, and support system implementation.
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Data Scientist5Bachelor’s degree in Data Science, Statistics, Computer Science, or Engineering. Strong analytical and statistical skills.Educational Background: Bachelor’s degree in Data Science, Statistics, Computer Science

Experience: Academic knowledge of data analysis, statistics, Python, SQL, or visualization tools.
2. University projects or internships involving data analysis will be an advantage.

Soft Skills: Strong analytical mindset with attention to detail.
2. Ability to explain data insights in a simple and clear manner.
3. Good collaboration skills to work with the departments and management teams.
4. Good communication skills to interact with cross-functional teams.
5. High willingness to learn and work with real manufacturing and business data.		Build dashboards, models, and reports to support data-driven decisions across EMS operations.
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Software Engineer5Bachelor’s degree in Software Engineering, Computer Science, or related field.Educational Background: Bachelor’s degree in Software Engineering, Computer Science, Computer Engineering.

Experience: Basic programming knowledge (e.g., Java, Python, C#, or similar) gained through coursework or projects.
2. Exposure to application development, databases, or web technologies is a plus.

Soft Skills: Good problem-solving and logical thinking skills.
2. Ability to work effectively in a team-based environment.
3. Good communication skills to coordinate with IT, users, and functional teams.
4. Strong learning attitude and interest in supporting manufacturing and business systems.		Design, develop, test, and maintain applications integrated with ERP, MES, and internal systems.
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