Data​/ML Engineer

Job Details

Job Level: W2T Consultant

Job Location: Hybrid/Onsite – Must be a local candidate to Omaha, NE. 3‑4 days a week in office is required.

Travel Expectations: None

Job Classification: Temporary (W2T), Contractor (1099)

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 focuses on data pipelines, model lifecycle management, and governance, partnering with application and AI engineers to ensure AI systems are reliable, explainable, and compliant.

• 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

• 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 of 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
• Financial services or regulated‑industry experience strongly preferred

• Remote and Hybrid Work
• Time Off When You Need It
• Benefits That Flex
• Professional Development

While benefits eligibility may vary for roles that are not full‑time, we provide unique opportunities for growth, skill development, and more. Regardless of your role, you’ll be part of a collaborative environment where every team member contributes to our shared success.

We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws.

Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the application or interview process.