Artificial Intelligence & Machine Learning Engineer

Sandisk; Batu Kawan; On-site; MYR 200,000 - 360,000; Full time

Job summary

Sandisk in Penang invites an experienced Artificial Intelligence & Machine Learning Engineer to architect, deploy, and scale manufacturing intelligence systems. You will own the end-to-end design of robotic process automation and advanced ML pipelines, bridging physical processes and digital intelligence to drive efficiency.

You will lead enterprise automation, build scalable data infrastructures, and mentor junior engineers while collaborating with cross-functional teams to continuously improve

Qualifications

• Bachelor's, Master's, or PhD in a highly quantitative field such as Computer Science, Computer Engineering, Electrical Engineering, or related.
• 5–8+ years of professional engineering experience deploying automation and AI solutions in production.
• Expert-level Python and C# for industrial automation, CV, and real-time data processing.

Responsibilities

• Architect scalable automation solutions and enterprise-grade models across manufacturing tech stack.
• Own end-to-end AI/ML pipelines from data curation to production deployment and monitoring.
• Design and optimize state-of-the-art deep learning models for classification, object detection, and segmentation.
• Develop and manage high-throughput image processing and IoT data pipelines.
• Lead data analysis and root-cause investigations to improve yield and reliability.
• Integrate systems via robust APIs and industrial protocols (SECS/GEM).
• Provide technical leadership across cross-functional teams and mentor engineers.

Skills

Python

C#

Computer vision

Data processing

Automation

Education

Bachelor/Master/PhD in CS/CE/EE or quantitative field

Tools

TensorFlow

PyTorch

TensorRT

OpenCV

YOLO

SegNet

ResNet

SQL

Job description

Artificial Intelligence & Machine Learning Engineer

• Full-time
• Job Type (exemption status): Exempt position - Please see related compensation & benefits details below
• Business Function: Artificial Intelligence & Machine Learning

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.

We are seeking a Artificial Intelligence & Machine Learning Engineer to architect, deploy, and scale our next-generation manufacturing intelligence systems. In this role, you will own the end-to-end design of robotic process automation (RPA) and advanced machine learning pipelines. You will bridge the gap between complex physical manufacturing processes and digital intelligence, driving operational efficiency and mentoring junior engineers.

Essential Duties and Responsibilities:

• Architect Enterprise Automation: Lead the design and deployment of scalable automation solutions using internal RPA platforms, establishing engineering best practices for structured, fault-tolerant workflow design.
• Process Optimization & Strategy: Analyze complex manufacturing processes, translating them into highly efficient, reliable, and mathematically sound automation flows.
• End-to-End AI/ML Engineering: Own the full lifecycle of computer vision and machine learning pipelines, from data curation to production deployment and model monitoring.
• Advanced Model Development: Design and optimize state-of-the-art deep learning models for classification, object detection, and segmentation (e.g., YOLO, transformers, custom CNNs).
• Data Infrastructure Leadership: Build, scale, and maintain high-throughput image processing and IoT data pipelines handling massive machine and sensor datasets.
• Root Cause & Predictive Analytics: Spearhead advanced data analysis and deep-dive root cause investigations to solve critical manufacturing anomalies and drive continuous process yield improvement.
• Complex System Integration: Formulate integration strategies connecting disparate systems via robust APIs and specialized industrial communication protocols (e.g., SECS/GEM).
• Cross-Functional Ownership: Act as the technical lead across cross-functional teams, overseeing system deployments, debugging high-priority issues, and championing continuous improvement initiatives.

Required:

• Education: Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, or a highly quantitative field.
• Technical Experience: Minimum of 5–8+ years of professional engineering experience with a proven track record of deploying automation and AI solutions in production.
• Programming Mastery: Expert-level proficiency in Python and C# specifically optimized for industrial automation, computer vision, and real-time data processing.
• Automation Expertise: Advanced expertise in structured workflow design, process flow virtualization, and deploying enterprise-grade models.
• Computer Vision Authority: Deep hands-on experience in full-lifecycle computer vision pipelines:
  • Model training, custom evaluation metrics, and edge/cloud deployment.
  • State-of-the-art (SOTA) Deep Learning models (YOLO variations, SegNet, ResNet).
  • Advanced pixel-level segmentation, multi-class detection, and classification.
  • Conventional computer vision techniques (OpenCV, filtering, morphology, spatial transformations).
• Data Management: Advanced knowledge of SQL (MySQL / MSSQL), including schema design, query optimization, complex stored procedures, and big data handling.
• Analytical Mindset: Demonstrated experience in statistical data analysis and root cause investigation for industrial systems.

Preferred:

• Industrial Domain Expertise: Deep exposure to high-volume manufacturing environments, automated machine vision inspection hardware, or complex sensor telemetry.
• Deep Learning Frameworks: Expert-level familiarity with productionizing models within TensorFlow, PyTorch, or TensorRT ecosystems.

Skills:

• Autonomy & Ownership: Proven ability to operate with minimal supervision, define project roadmaps, and take full accountability for engineering deliverables.
• Influence & Mentorship: Strong communication and interpersonal skills to mentor junior engineers and present technical strategies to non-technical stakeholders.
• Crisis Management: Highly self-driven, analytical, and resilient when troubleshooting critical line-down situations in a high-velocity 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 [email protected] 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.