About the role
AI summarisedData Scientist role at Micron, a semiconductor company, focusing on applying machine learning and computer vision to large-scale manufacturing data. Responsibilities include designing and deploying models, extracting and cleaning data, and coordinating production deployments. Requires strong background in optimization, linear programming, and proficiency in Python, SQL, and data visualization tools.
IDMFull-timeSmart MFG/AI
Key Responsibilities
- Design and deploy computer vision models for object detection, image segmentation and anomaly detection.
- Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems.
- Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
- Coordinate production deployment activities, including cross-functional communications, approval and execution of changes in live environments.
- Strong verbal and written communication skills.
Requirements
- Mater/PHD Degree in Operation Research, Industry Engineering, Statistics with a strong academic foundation in linear programming and optimization
- Minimum 3 years of experience in operation research/optimization, preferably has working experience in the semiconductor industry and have applied optimization techniques in their daily work
- Strong foundation in Linear programming optimization modeling, advanced analytics, and machine learning techniques.
- Ability to extract data from multiple databases using SQL and other query languages, including experience with data cleansing, outlier detection, and handling missing data.
- Strong proficiency in Python and linear programming, SQL, C#
- Proficiency in data visualization tools such as Tableau, Power BI, and related techniques.
- Proficiency in web development technologies, including Angular, FastAPI, and Docker.
- Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets and to deliver meaningful end-to-end solutions for users.
- Experience in the areas: computer vision, statistical modeling, deep learning, generative AI, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement.