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Analyze existing Micron data sets to identify patterns, trends, and insights that can enhance machine learning model development. Design, implement, and iterate on machine learning models to address specific business challenges and enhance product functionality. Build knowledge by keeping up with latest advancements in machine learning and artificial intelligence (AI), integrating new techniques and technologies into our MLOPS development process. Build and maintain Data/Solution Pipeline Engineering to ensure a robust and scalable data infrastructure that supports the training and deployment of machine learning models. Collaborate on data preprocessing and feature engineering to enhance the quality of input data for machine learning models. Design and optimize data structures in data management systems (Cloud platforms - Snowflake, GCP, Azure) to enable AI/ML solutions. Build custom software components and analytics applications. Create/Maintain CI/CD pipelines of machine learning solutions in the cloud environment. Implement strategies for deploying machine learning models into production environments. Responsible for selecting best model to meet both model performance and minimize compute costs. Establish and maintain monitoring systems to track the performance of deployed models and facilitate continuous improvement. Work in a technical team through development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics using machine learning and artificial intelligence. Communicate findings, insights, and recommendations to both technical and non-technical stakeholders in a clear and accessible manner.
Employer will accept a Master's degree in Computer Science, Machine Learning, Data Science, Statistics, Information Technology, or a field closely related to AI and ML and 2 years of experience in the job offered or in an Engineering-related occupation.
Position requires experience in:
- Building and executing end-to-end ML systems automating training, testing, and deploying Machine Learning models in cloud platforms
- Machine learning frameworks (TensorFlow, PyTorch, scikit-learn, etc.)
- Prediction (regression) and classification algorithms and familiarity with deep learning, reinforcement learning and generative AI
- One of the following: Python or Java
- Building event driven pipelines using messaging systems like Pub/Sub, Solace or Kafka
- Developing ETL/ELT pipelines using Kubeflow, Dataflow and/or Airflow
- Data architecture, encompassing data structures and schemas, along with strong SQL writing and comprehension skills
- Continuous integration/continuous delivery (CI/CD) tools (Jenkins, Git, Docker, Kubernetes)
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
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