Data Platform & Machine Learning Engineer is a Machine Learning Engineer role (full-time). with Leon Capital Group. in DALLAS, US. Imported listing (source: linkedin.com). Apply on the employer's site (linkedin.com).
Imported listing (source: linkedin.com) · Apply on linkedin.com
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from linkedin.com
Leon Capital Group is building an AI-native operating model within its Financial Services Group. This role combines owning the data platform and building the first ML models on top of it, with a deliberate arc from data engineering to modeling. You will work across portfolio companies, designing reusable data patterns and models. The role is ideal for an engineer who excels at both data infrastructure and applied machine learning.
Responsibilities
Design and own the canonical data model and warehouse.
Build the data platform and models as reusable patterns across portfolio companies.
Build ingestion pipelines from heterogeneous sources (flat-file, SFTP, public registries).
Stand up judgment capture to turn decisions into labeled training data.
Lay groundwork for risk and recommendation models (feature engineering, evaluation, calibration).
Build validation, monitoring, and data lineage.
Enforce data-ownership bar in vendor decisions.
Partner with Forward-Deployed Engineer and shared IT/security teams.
Requirements
5+ years building data systems end-to-end (early or founding data hire experience).
Strong data engineering fundamentals: schema design, ETL/ELT, production PostgreSQL.
Leon Capital Group is a diversified holding company that conceives, develops, and operates businesses across industries including financial services, healthcare, and real estate. The group aims to create long-term value by partnering with industry-leading founders and building exceptional businesses.