Engineer, Data Management Engineering

Sandisk; Seberang Perai; On-site; MYR 50,000 - 70,000; Full time

Job summary

A global technology company in Malaysia is seeking a motivated Junior Data Management Engineer. This role involves collaborating with stakeholders to enhance manufacturing processes using data engineering and machine learning techniques. Candidates should have a degree in a relevant field and foundational experience in data analytics. The company fosters an inclusive environment and offers opportunities for personal growth.

Qualifications

• 0–2 years of experience in data analytics, data engineering, or machine learning.
• Experience with model deployment in production.
• Familiarity with version control tools such as Git.

Responsibilities

• Work with stakeholders to resolve manufacturing process problems.
• Apply computer vision algorithms for quality control.
• Build, train, and validate machine learning models.

Skills

Proficiency in SQL

Strong programming skills in Python

Data preprocessing and feature engineering techniques

Ability to interpret and visualize data insights

Strong analytical and problem-solving mindset

Effective written and verbal communication

Team collaboration

Proactive learning attitude

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, or Statistics

Tools

Python

SQL

Spark

PyTorch

TensorFlow/Keras

OpenCV

Docker

Kubernetes

Job description

Overview

We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning, computer vision and GenAI to join our growing data team. This role is perfect for someone early in their career who is eager to contribute to data engineering tasks while gaining hands-on exposure to machine learning workflows. You\'ll help ensure data pipelines are optimized for analytics and ML model development, supporting both operational and strategic decision-making.

Responsibilities

• Work with multiple stakeholders to identify, diagnose and resolve manufacturing process related problems such as quality excursions, manufacturing excellence and cost improvement.
• Apply computer vision algorithms to inspect production lines for defects, improve yield, and enhance overall quality control. Leverage techniques such as object detection, image segmentation, and defect localization to identify issues early in the manufacturing process.
• Build, train, and validate machine learning models to address complex manufacturing challenges, such as defect detection, process optimization, and performance prediction.
• Able to deploy trained models into production environments, including APIs, edge devices, or embedded systems. Ensure seamless integration with manufacturing systems and establish real-time monitoring for model performance.
• Design and develop scalable GenAI applications using LLMs tailored to manufacturing use cases.

Qualifications

• REQUIRED:
• Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
• 0–2 years of experience in data analytics, data engineering, or machine learning.
• Proficiency in SQL for data querying and manipulation.
• Strong programming skills in Python; experience with SQL, Spark, or other big data tools for processing large-scale manufacturing/sensor datasets.
• Proficiency in ML frameworks (PyTorch, TensorFlow/Keras) and CV libraries (OpenCV, Detectron2, MMDetection).
• Experience with model deployment in production (e.g., Docker, Kubernetes, edge devices) for real-time or batch inference.
• PREFERRED:
• Exposure to building or assisting in ML models using libraries like scikit-learn or TensorFlow.
• Experience with data visualization tools (e.g., Spotfire, Power BI, Tableau).
• Familiarity with version control tools such as Git.
• Exposure to ML lifecycle tools like MLflow, DVC, or Kubeflow.
• SKILLS:
• Data preprocessing and feature engineering techniques.
• Ability to interpret and visualize data insights.
• Strong analytical and problem-solving mindset.
• Effective written and verbal communication.
• Team collaboration and a proactive learning attitude.

Additional information

• 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 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 [emailprotected] 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\u2019s 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 [emailprotected].

Note: This description does not include any salary information. Please consult the official posting for compensation details.