Data Engineer

        Create plans as proof-of-concept and presenting related results including prototypes to business and IT leaders.

·        Develop project plans that include specification of resource needs and task dependencies to meet project deliverables.

·        Direct data preparation planning effort and ETL procedure development and testing.

·        Design and interpreting analytical models to discover data-driven insights that are actionable and transformative for restructuring strategies and operations to drive business value.

·        Evaluate the performance of LLM models. This may involve measuring the models' accuracy on our tuned datasets.

·        Design and deploy predictive and prescriptive models that may include LLM models to support business applications. Ability to package the model, create REST APIs, and deploy on cloud environments.

·        Contribute to thought leadership initiatives, hackathons, internal innovation initiatives to promote PxE's reputation in predictive and generative analytics.

·        Stay updated with technological advancements and participate in evaluations of new technologies for predictive, statistical, and generative analytics.

·        Utilize Databricks for scalable data engineering, collaborative data science, and machine learning workflows.

·        Leverage Dataiku for data science and analytics platform capabilities, including data preparation, visualization, and model deployment.

·        Integrate Generative AI technologies to create innovative data-driven solutions and enhance analytics capabilities.