About the role
AI summarisedIntern ML/AI Engineer role at Micron Technology, a semiconductor memory and storage solutions company. The intern will develop machine learning models and data pipelines to optimize manufacturing processes, working with large datasets and collaborating with engineering teams.
IDMFull-timeSTPG
Key Responsibilities
- Build, develop, and program methods, processes, and systems that consolidate and analyze unstructured, diverse data sources. Use these insights to improve client services and products.
- Develop and code software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
- Model Development & Feature Engineering: Develop predictive models using machine learning techniques (such as regression, classification, and clustering) to optimize manufacturing processes and improve product quality.
- Visualization: Create clear and informative visualizations to communicate findings and insights to stakeholders.
- Collaborate with functional domain guides across product engineering teams to understand domain problems and determine solutions
- Continuous Improvement: Stay up to date with industry trends, research advancements, and emerging technologies in data science and semiconductor manufacturing.
Requirements
- Master's degree or higher in Computer Science, Statistics, Engineering, or a related field.
- Hands-on experience working with data analytics, preferably within the semiconductor or high-tech manufacturing industry.
- Foundation in statistical modeling, sophisticated analytics, and modern machine learning techniques.
- Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow or PyTorch.
- Experience working with GCP services including BigQuery, Vertex AI, and Cloud Functions.
- Strong skills in data visualization using Power BI, Tableau, or equivalent tools.
- Excellent communication and teamwork skills across technical and non-technical stakeholders.
- Excellent problem-solving skills