About the role
AI summarisedMachine Learning Engineer Intern at Micron Technology's Smart Manufacturing and AI team, applying AI/ML to real-world manufacturing problems, building data pipelines, and deploying models at scale.
IDMFull-timeSmart MFG/AI
Key Responsibilities
- Build and maintain data pipelines and workflows for machine learning model development.
- Develop and optimize data structures and datasets in cloud platforms (e.g., Snowflake, Google Cloud).
- Write clean, maintainable code for scalable MLOps implementation and internal tools.
- Support CI/CD workflows for model testing and deployment.
- Collaborate with cross-functional teams to explore data-driven solutions.
Requirements
- Enrolled in Computer Science, Data Science, Statistics, Engineering, or a related technical field.
- Basic understanding of ML concepts and algorithms.
- Experience with Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
- Knowledge of data structures, scripting, and software development fundamentals.
- Familiarity with SQL or cloud platforms (AWS, Azure, GCP) is a plus.
- Strong analytical skills, curiosity, and eagerness to learn new technologies.
- Ability to work in a fast-paced, collaborative environment.
- Coursework or projects in machine learning, data engineering, or cloud computing.
- Experience with Docker, Git, and CI/CD workflows (school or personal projects).
- Exposure to big data concepts, data preprocessing, or ETL processes.
- Interest in computer vision, signal processing, or statistics.
- Strong communication skills and proactive learning mindset.
