[Sept 2026 intake - Fresh Grad Only] Associate Engineer, AI/ML Process Engineering

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or related Engineering field.
• Knowledge in Python and familiarity with libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch and database (SQL) to perform data mining and analysis/ manipulation.
• Knowledge & experienced in data analysis, statistical tools (Minitab/JMP), modeling (regression, DOE, distribution analysis), and large dataset handling, transitioning into Python-based data processing (Pandas, NumPy) for scalable analytics.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and teamwork skills.
• PREFERRED:
• Projects/ experienced showcasing classical ML + GenAI solutions. Familiarity with the Model Context Protocol (MCP) or standardized LLM/tool integrations.
• Passionate about technology and continuous improvement in a factory environment.
• Strong communication and teamwork skills.
• Self-motivated, organized, and able to manage multiple tasks in a dynamic environment.

Additional Information

ESSENTIAL DUTIES AND RESPONSIBILITIES: Support to integrate classical machine learning with Generative AI to support process applications such as anomaly detection, predictive maintenance, yield optimization and etc. Assist in building and development of NLP (Natural Language Processing) pipelines from SMT/ Mechanical Assembly process engineering critical KPOV data manipulation (eg. SMT machine performance report, Mechanical assembly measurement output) Handling unstructured engineering data such as equipment logs, FA reports, and production records, suitable for NLP-based automation (classification, summarization, insights extraction). Support in processing automation and digital transformation initiatives, with growing exposure to AI tools (LLMs, prompt engineering) for knowledge retrieval and decision support. Develop and maintain prompt engineering strategies for improving model performance. Document experiment, design code, and system interfaces to ensure maintainability and scalability.

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Company Intel

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