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AI Engineer

Job in Strongsville, Cuyahoga County, Ohio, 44136, USA
Listing for: Union Home Mortgage Corp.
Full Time position
Listed on 2026-02-17
Job specializations:
  • IT/Tech
    AI Engineer
Job Description & How to Apply Below
As an AI Engineer at Bedford Capital, you will own end-to-end AI solutions-design, develop, and deploy scalable ML models, generative AI, and predictive systems tailored to mortgage operations. These will streamline loan origination, servicing, and borrower engagement; accelerate processing, reduce costs, mitigate risks, ensure compliance, and drive personalized experiences.

You will mentor junior engineers, collaborate cross-functionally, and shape strategic AI initiatives!

At UHM, we understand diversity comes in many different forms. It's our commitment to improve inclusion in the workplace through programs and policies that establish a positive and inclusive environment where every Partner, regardless of their background, can grow and excel. We value diversity, educate on equity, and create inclusive partner opportunities to ensure that you know #UBelong

AtUHM!

DUTIES & RESPONSIBILITIES

* Automate Repetitive Tasks:
Take full ownership of end-to-end solutions; analyze manual workflows, prepare datasets, build and deploy document classification and data extraction models to eliminate redundant human effort.

* Streamline Workflows:
Deliver complete AI systems that integrate with loan origination systems

* Minimize Errors:
Implement end-to-end data validation pipelines incorporating anomaly detection, ensemble checks, and feedback loops to enforce consistency across mortgage data sources.

* Ensure Compliance:
Build compliance-ready AI solutions from the ground up, embedding model explainability, audit trails, and bias-monitoring aligned with regulations

* Collaborate Across Teams:
Lead architecture reviews and deployment planning with data engineers, Dev Ops, and business stakeholders.

* Maintain Systems:
Own the complete MLOps lifecycle using tools like MLflow, Kubeflow, or AWS Sage Maker; monitor model drift, orchestrate retraining, and ensure high availability of inference services.

* Stay Current:
Research emerging AI techniques and incorporate them into end-to-end prototypes and production solutions
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