- PNC (Strongsville, OH)
- …collaborate will other lines of business. Candidates must be proficient in: Data modeling, Ontology , Hadoop, Spark, and SQL. The position is primarily based in a PNC ... location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the manager's discretion. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this… more
- Capgemini (Cincinnati, OH)
- …and design** end-to-end data solutions using Palantir Foundry, including ontology modeling, pipeline development, and operational workflows. + Collaborate with ... field. + **3+ years of experience** working with Palantir Foundry, including ontology design, code repositories, and pipeline development. + Strong understanding of… more
- GE Aerospace (Evendale, OH)
- …data engineers, analysts, and mission stakeholders to refine data models and ontology mapping. + Assist in Foundry workshops to guide stakeholders through platform ... capabilities. + Support testing, debugging, and performance tuning of Foundry applications. **Data Integration and Analytics:** + Work with aerospace data to identify patterns, trends, and insights using **Palantir Foundry** and AWS analytical tools. + Develop… more
- GE Aerospace (Evendale, OH)
- …processes to support LLM training and inference. + Utilize semantic and ontology technologies to enhance data integration and retrieval. Ensure data is semantically ... enriched to support advanced analytics and machine learning models. + Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value. + Perform exploratory and targeted data… more
- GE Aerospace (Evendale, OH)
- …and LLM pipelines for performance and accuracy. + Utilize semantic and ontology technologies to enhance data integration and retrieval. Ensure data is semantically ... enriched to support advanced analytics and machine learning models. + Interact with cloud services and develop and deploy models within cloud environments such as AWS, Azure, Google Cloud, and Databricks + Perform exploratory and targeted data analyses using… more