Industrial AI Scientist: Vision & Multimodal ML

Micron Technology, Inc.; Singapore; Vor Ort; SGD 90.000 - 130.000; Vollzeit

Zusammenfassung

Micron Technology, Inc. in Singapore seeks a Data Scientist to uncover patterns and develop predictive models across manufacturing data streams.

You will design and deploy computer vision and AI solutions, collaborate with AI engineers and business teams, and drive data-driven decisions in a fast-paced environment. Responsibilities include cleansing large datasets from SQL and cloud sources, applying MLOps practices for production deployment, and mentoring engineers in AI applications.

Qualifikationen

• Bachelor's degree in Computer Science, Data Science or AI.
• 1–2 years hands-on experience deploying scalable AI in manufacturing/electronics.
• CV: 1–2 years deploying CV models for industrial apps using OpenCV.
• DL/AI: 1+ year with TensorFlow or PyTorch including CNNs.
• Multimodal analysis: experience with image/text or time-series data.
• Programming & Data Eng: Python, SQL, and distributed computing (Spark/Hadoop).

Aufgaben

• Design and implement computer vision systems for inspection.
• Develop and deploy deep learning models (CNNs, LSTM, transformers).
• Apply advanced AI techniques including few-shot learning and multimodal fusion.
• Extract, cleanse, and analyze large-scale datasets from SQL and cloud sources.
• Lead cross-functional collaboration with engineering, operations, and quality teams.
• Coordinate production deployment activities using MLOps practices.
• Communicate technical concepts and project outcomes clearly.

Kenntnisse

Computer Vision

Deep Learning

Multimodal Analysis

Programming & Data Engineering

Communication & Collaboration

Ausbildung

Bachelor's degree in Computer Science, Data Science or AI

Tools

OpenCV

TensorFlow

PyTorch

Keras

SQL

Spark/Hadoop

GCP

Jobbeschreibung

Micron Technology, Inc. in Singapore seeks a Data Scientist to uncover patterns and develop predictive models across manufacturing data streams.

You will design and deploy computer vision and AI solutions, collaborate with AI engineers and business teams, and drive data-driven decisions in a fast-paced environment. Responsibilities include cleansing large datasets from SQL and cloud sources, applying MLOps practices for production deployment, and mentoring engineers in AI applications.