Data / ML Engineer

Centric Consulting•Omaha, NE

1d•Hybrid

About The Position

Centric Consulting is seeking a Data / ML Engineer to support the design, development, and operationalization of AI and GenAI pipelines within a regulated financial services environment. This role is focused on data pipelines, model lifecycle management, and governance, partnering with application and AI engineers to ensure AI systems are reliable, explainable, and compliant.

Requirements

A data-focused engineer with strong experience supporting production ML and GenAI systems
Comfortable operating across data engineering, ML workflows, and governance requirements
Experienced working with financial or sensitive data in regulated environments
Detail-oriented, methodical, and focused on long-term operability and compliance
Bachelor’s degree in Computer Science, Data Science, Engineering, or related field required
5+ years experience in data engineering or ML engineering roles
Strong proficiency in Python and the modern Python data stack
Hands-on experience with vector databases, RAG architectures, or LLM lifecycle management
Experience implementing MLOps practices in production environments

Nice To Haves

Financial services or regulated-industry experience strongly preferred

Responsibilities

Design and implement RAG pipelines, vector database integrations, and data ingestion workflows
Develop and optimize prompt engineering and fine-tuning approaches for enterprise LLM use cases
Build and maintain MLOps pipelines, including model versioning, monitoring, retraining, and rollback strategies
Ensure data quality, lineage, and auditability across AI systems
Implement controls supporting model governance, explainability, and audit readiness
Partner with security, compliance, and risk teams to meet regulatory expectations
Support AI engineers with data and model insights to improve solution accuracy and reliability