Associate Mechanical Design Engineer

Sandisk; Batu Kawan; On-site; MYR 90,000 - 140,000; Full time

Job summary

Sandisk seeks a skilled ML/NLP Engineer to help integrate classical ML with Generative AI, building NLP pipelines from manufacturing data to extract actionable insights. You will handle unstructured logs and production records, enabling AI-driven anomaly detection and predictive maintenance in a fast-paced factory setting.

The role requires a strong Python background, experience with ML/NLP libraries, and data analytics skills.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, AI, ML, or related Engineering field.
• Strong Python programming experience with ML/NLP libraries.
• Experience with data mining, analytics, and SQL databases.
• Solid analytical and problem-solving abilities with attention to detail.

Responsibilities

• Assist in integrating classical ML with Generative AI to support process applications (anomaly detection, predictive maintenance, yield optimization).
• Build and develop NLP pipelines from SMT/Mechanical Assembly data (KPOV data manipulation).
• Handle unstructured engineering data (equipment logs, FA reports, production records) for NLP-based automation.
• Support automation and digital transformation with AI tools (LLMs, prompt engineering) for knowledge retrieval and decision support.
• Develop and maintain prompt engineering strategies; document experiments, code, and interfaces for maintainability.

Skills

Python

NumPy

Pandas

Scikit-learn

TensorFlow

PyTorch

SQL

Data analysis

Statistics

Education

Bachelor's or Master's in Computer Science/Data Science/AI/Engineering

Job description

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

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.

REQUIRED:

• 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.

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [e-mail] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

NOTICE TO CANDIDATES:

Sandisk has received reports of scams where a payment is requested on Sandisk's behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline or email [e-mail].