Machine Learning Engineer

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:

1. Building and executing end-to-end ML systems automating training, testing, and deploying Machine Learning models in cloud platforms
2. Machine learning frameworks (TensorFlow, PyTorch, scikit-learn, etc.)
3. Prediction (regression) and classification algorithms and familiarity with deep learning, reinforcement learning and generative AI
4. One of the following: Python or Java
5. Building event driven pipelines using messaging systems like Pub/Sub, Solace or Kafka
6. Developing ETL/ELT pipelines using Kubeflow, Dataflow and/or Airflow
7. Data architecture, encompassing data structures and schemas, along with strong SQL writing and comprehension skills
8. Continuous integration/continuous delivery (CI/CD) tools (Jenkins, Git, Docker, Kubernetes)

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever., Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.