Posted 1 day ago
AI/ML Software Development Intern
Job description
Job Details: Job Description: Intel Foundry Automation – Data Analytics & Process Group is seeking a motivated and technically curious intern to join our Manufacturing Automation team for a minimum of 6-months engagement. This role offers hands-on experience in delivering AI/ML solutions driving factory operations improvement and industrial innovation. About the Role As an AI/ML Manufacturing Automation Intern, you will work directly with our automation development team to support the development, deployment, and documentation of automation and artificial intelligence solutions in manufacturing environments. This is an excellent opportunity to gain real-world experience in industrial AI applications while contributing to meaningful projects that impact production efficiency and quality. Key
Responsibilities
Solution Delivery Support Assist in the development and testing of AI/ML models for manufacturing processes Support data collection, preprocessing, and analysis Participate in solution integration and deployment activities Technical Support Help troubleshoot and resolve issues with deployed AI/ML solutions Monitor system performance and assist with optimization efforts Support user training and knowledge transfer activities Assist with system maintenance and updates Documentation & Communication Create and maintain technical documentation for AI/ML solutions Develop user guides, process documentation, and training materials Assist in preparing project reports and presentations Document best practices and lessons learned
Qualifications
Required
Qualifications
Candidates should hold or currently in progress to complete a Bachelor's or Master’s degree in Computer Science, Data Science, Computer Engineering, or related fields. Technical Skills Programming experience in Python, R, or similar languages Basic understanding of machine learning concepts and algorithms Familiarity with data analysis and visualization tools Knowledge of databases and data management principles Understanding of software development lifecycle Soft Skills Strong analytical and problem-solving abilities Excellent written and verbal communication skills Ability to work collaboratively in a team environment Eagerness to learn and adapt in a fast-paced environment
Preferred Qualifications
Experience
with manufacturing processes or industrial automation Knowledge of AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) Familiarity with cloud platforms (AWS, Azure, GCP)
Experience
with version control systems (Git) Understanding of statistical analysis and data mining techniques Duration & Commitment Minimum 6-month commitment required Job Type: Student / Intern Shift: Shift 1 (Malaysia) Primary Location: Malaysia, Kulim Additional Locations: Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A Work Model for this Role This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change. * ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter. Intel’s official careers website. Find your next job and take on projects that shape tomorrow’s technology.
Benefits
Internships Life at Intel Locations Recruitment Process
Skills and functions
- Aws
- Azure
- Customer Support
- Data Analytics
- Data Science
- Gcp
- Human Resources
- Machine Learning
- Python