Junior Data Management Engineer: ML & CV for Manufacturing

Sandisk; Batu Kawan; On-site; MYR 120,821 - 181,232; Full time

Job summary

Sandisk in Malaysia is seeking a Junior Data Management Engineer eager to work on machine learning and computer vision applications within data engineering tasks. This entry-level role will provide exposure to data pipelines optimization and ML model deployment, offering a chance to collaborate with multiple stakeholders to enhance manufacturing processes.

The ideal candidate will hold a relevant Bachelor’s degree and has up to two years of experience. Proficiency in SQL and Python is crucial, as well as skills in ML frameworks and deployment tools.

Qualifications

• 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 model deployment in production environments.

Responsibilities

• Work with stakeholders to resolve manufacturing process related problems.
• Apply computer vision algorithms to inspect production lines for defects.
• Build, train, and validate machine learning models.
• Deploy trained models into production environments.
• Design scalable GenAI applications using LLMs.

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 proactive learning attitude

Education

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

Tools

SQL

Python

Spark

ML frameworks (PyTorch, TensorFlow/Keras)

CV libraries (OpenCV, Detectron2, MMDetection)

Docker

Kubernetes

Job description

Sandisk in Malaysia is seeking a Junior Data Management Engineer eager to work on machine learning and computer vision applications within data engineering tasks. This entry-level role will provide exposure to data pipelines optimization and ML model deployment, offering a chance to collaborate with multiple stakeholders to enhance manufacturing processes.

The ideal candidate will hold a relevant Bachelor’s degree and has up to two years of experience. Proficiency in SQL and Python is crucial, as well as skills in ML frameworks and deployment tools.