GE Aerospace is looking to solve statistical, machine learning, and artificial intelligence problems related to supply chain forecasting by developing and deploying machine learning models in production environments.
Requirements
- 4 years proficiency in Python (mandatory)
- 3 years demonstrated expertise in cloud platforms (e.g. AWS, Azure, Google Cloud, Databricks) and their machine learning services
- Demonstrated experience deploying and managing CI/CD pipelines
- Demonstrated skill in data management methods and analytic scaling
- Demonstrated skill in prescriptive analytics and analytic prototyping.
- Demonstrated skill in solutions integration
Responsibilities
- Develop, verify, and validate analytics to address customer needs and opportunities.
- Design, develop, and deploy machine learning models and algorithms
- Work in technical teams on the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
- Develop and maintain pipelines for Retrieval-Augmented Generation (RAG) and Large Language Models (LLM).
- Collaborate with data scientists to optimize RAG and LLM pipelines for performance and accuracy.
- Utilize semantic and ontology technologies to enhance data integration and retrieval.
- Interact with cloud services and develop and deploy models within cloud environments such as AWS, Azure, Google Cloud, and Databricks
Other
- Bachelor’s degree from accredited university or college with minimum of 6* years of professional experience OR associates degree with minimum of 8 years of professional experience
- 3 years demonstrated expertise working and leading in team settings in various roles
- Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job.
- Demonstrated skill in defining and delivering customer value.
- Demonstrated expertise communicating complex information to executive stakeholders
