Micron Technology is seeking to enhance its machine learning and AI capabilities to enrich life for all by transforming how information is used, with a focus on developing innovative memory and storage solutions.
Requirements
- Building and executing end-to-end Machine Learning (ML) systems automating training, testing, and deploying ML models in cloud platforms;
- Working with ML frameworks, including TensorFlow, PyTorch, scikit-learn;
- Prediction (regression) and classification algorithms and deep learning, reinforcement learning and generative Artificial Intelligence (AI);
- Programming skills in Python or Java;
- Developing ML or AI solutions with either Python, AWS, AZURE, or GCP;
- Using Docker, Kubernetes and containerization;
- Using ETL to develop pipelines (Airflow/Kubeflow/Dataflow);
Responsibilities
- Analyze existing 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.
Other
- Employer will accept a Bachelor’s degree in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, or related field and 3 years of experience in the job offered or in an AI Engineer-related occupation; Alternatively, employer will accept a Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, or related field and 1 year of experience in the job offered or in an AI Engineer-related occupation.
- May telecommute parttime.
- Writing and understanding SQL;
- Data architecture, including data structures or data schemas.
- Communicate findings, insights, and recommendations to both technical and nontechnical stakeholders in a clear and accessible manner.
