AI Engineer

UNION HOME MORTGAGE • Strongsville, OH

48d

About The Position

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 #UBelongAtUHM!

Requirements

• Bachelor’s degree in Computer Science, Data Science, Statistics or related field
• 3+ years of experience in AI/ML development, including full end-to-end ownership of production models.
• Proven ability to deliver complete AI solutions from requirements to deployment and monitoring.
• Foundational understanding of linear algebra, calculus, probability, and statistics in machine learning contexts.
• Proficiency in end-to-end AI development using Python, from data ingestion to model serving.
• Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and orchestration tools (Airflow, Prefect) for complete pipelines.
• Strong grasp of full-lifecycle system design, event-driven patterns, containerization (Docker), and CI/CD for AI systems.
• Familiarity with cloud-native deployment on AWS, Azure
• Solid problem-solving skills to debug and optimize end-to-end AI systems.
• Analytical mindset with practical knowledge of linear algebra, probability, and statistics applied to model development and evaluation.

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, DevOps, and business stakeholders.
• Maintain Systems: Own the complete MLOps lifecycle using tools like MLflow, Kubeflow, or AWS SageMaker; 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level